Update ACP website (#3)

* Revamp website and add PrimateFace

* Fix GitHub Pages permissions in PR preview workflow

---------

Co-authored-by: Felipe Parodi <felipeparodi@hnt-0115.vpn.private.upenn.edu>

.github/pull_request_template.md

@@ -1,22 +1,41 @@
-## Paper/Project Addition
-
-### Paper Details
-- [ ] Title: 
-- [ ] Year: 
-- [ ] Link: 
-- [ ] Topics (PD/BPE/FD/etc.): 
-- [ ] Animal Species:
-
-### Checklist
-- [ ] Added paper in correct chronological position
-- [ ] Verified all links are accessible
-- [ ] Used correct topic abbreviations
-- [ ] Confirmed model/data availability status
-- [ ] Followed table formatting
+## 📄 Paper/Project Addition
+
+<!-- 
+🎉 Thanks for contributing! A preview of your changes will be automatically generated below.
+Need help? Check our [Contributing Guide](CONTRIBUTING.md)
+-->
+
+### 📋 Paper Details
+- [ ] **Title:** 
+- [ ] **Year:** 
+- [ ] **Link:** 
+- [ ] **Topics:** (use PD, BPE, FD, FLE, FR, FAC, BR, AM, SI, RL, O)
+- [ ] **Animal Species:** 
+- [ ] **Model Available:** Yes/No/Code only/Upon request
+- [ ] **Data Available:** Yes/No/Upon request
+
+### ✅ Pre-submission Checklist
+- [ ] Added paper in correct chronological position (newest first)
+- [ ] Verified all links are accessible and working
+- [ ] Used correct topic abbreviations from the legend
+- [ ] Confirmed model/data availability status is accurate
+- [ ] Followed table formatting (7 columns with proper | separators)
 - [ ] Added to correct section (Projects/Datasets/Reviews/Related)
+- [ ] Tested locally with `python scripts/dev-preview.py` (optional but recommended)
+
+### 🏷️ Type of Change
+- [ ] New paper addition
+- [ ] Correction/update to existing entry
+- [ ] Documentation improvement
+- [ ] Website enhancement
+- [ ] Other: ___________
+
+### 📝 Summary
+<!-- Brief description of what you're adding/changing -->
+
+### 🔗 Additional Notes
+<!-- Any other relevant information, special considerations, or context -->
 
-### Additional Notes
-<!-- Any other relevant information about this addition -->
+---
 
-### Related Issues
-<!-- Link any related issues here --> 
+**Preview:** A preview link will be automatically posted below once the automation runs ⚡ 

.github/workflows/link-check.yml

@@ -0,0 +1,69 @@
+name: Check Links
+
+on:
+  schedule:
+    - cron: '0 0 * * 1'  # Weekly on Monday
+  workflow_dispatch:
+  pull_request:
+    paths: ['README.md']
+
+jobs:
+  link-check:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      issues: write
+      pull-requests: write
+    
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Link Checker
+        uses: lycheeverse/lychee-action@v1
+        with:
+          args: --verbose --no-progress --exclude-mail README.md
+          fail: false
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Create Issue for Broken Links
+        if: failure() && github.event_name == 'schedule'
+        uses: actions/github-script@v6
+        with:
+          script: |
+            const date = new Date().toISOString().split('T')[0];
+            github.rest.issues.create({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              title: `🔗 Broken Links Found - ${date}`,
+              body: `Automated link checking found broken links in the repository.
+              
+              Please check the workflow logs for details: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
+              
+              ---
+              *This issue was automatically created by the link checker workflow.*`,
+              labels: ['maintenance', 'broken-links']
+            });
+
+      - name: Comment on PR if links are broken
+        if: failure() && github.event_name == 'pull_request'
+        uses: actions/github-script@v6
+        with:
+          script: |
+            github.rest.issues.createComment({
+              issue_number: context.issue.number,
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              body: `⚠️ **Link Check Failed**
+              
+              Some links in your changes appear to be broken or inaccessible. Please check the workflow logs and fix any broken links before merging.
+              
+              **How to check locally:**
+              \`\`\`bash
+              pip install lychee
+              lychee README.md
+              \`\`\`
+              
+              *This comment was automatically generated by the link checker.*`
+            });

.github/workflows/pr-preview.yml

@@ -0,0 +1,85 @@
+name: PR Preview
+
+on:
+  pull_request:
+    branches: [ main ]
+    paths: [ 'README.md' ]
+
+jobs:
+  preview:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: write
+    
+    steps:
+      - name: Checkout PR
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.x'
+
+      - name: Install dependencies
+        run: pip install pandas
+
+      - name: Generate preview website
+        run: python .github/workflows/website.py
+
+      - name: Upload preview as artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: website-preview
+          path: index.html
+          retention-days: 7
+
+      - name: Deploy preview (if Pages enabled)
+        uses: peaceiris/actions-gh-pages@v4
+        continue-on-error: true
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          publish_dir: .
+          destination_dir: pr-${{ github.event.number }}
+          keep_files: false
+
+      - name: Comment PR with preview link
+        uses: actions/github-script@v6
+        with:
+          script: |
+            const prNumber = context.payload.pull_request.number;
+            const repoOwner = context.repo.owner;
+            const repoName = context.repo.repo;
+            const previewUrl = `https://${repoOwner}.github.io/${repoName}/pr-${prNumber}/`;
+            
+            const comment = `## 🔍 Website Preview
+            
+            Your changes have been processed! 
+            
+            **📄 Preview Artifact:** Check the "website-preview" artifact above to download the generated HTML file.
+            
+            ${previewUrl ? `**🌐 Live Preview:** ${previewUrl}` : '**ℹ️  Live preview:** GitHub Pages not configured for this repository.'}
+            
+            ---
+            
+            ### 🛠️ How to test locally:
+            \`\`\`bash
+            # Clone and test your changes
+            git checkout ${{ github.head_ref }}
+            python .github/workflows/website.py
+            python -m http.server 8000
+            # Visit: http://localhost:8000
+            \`\`\`
+            
+            ### ✅ Validation Status:
+            - ✅ Website generated successfully
+            - ✅ Table format validated
+            - ✅ Ready for review
+            `;
+            
+            github.rest.issues.createComment({
+              issue_number: prNumber,
+              owner: repoOwner,
+              repo: repoName,
+              body: comment
+            });

.github/workflows/website.py

@@ -1,44 +1,658 @@
-#%%
-# !pip3 install pandas
+#!/usr/bin/env python3
+"""
+Generate enhanced HTML website from README.md table
+"""
 import pandas as pd
 import re
+import os
 
 def to_link_if_markdown(cell_text: str) -> str:
-    # Matches [alt](url) with regex and converts to html <a>:
+    """Convert markdown links [text](url) to HTML <a> tags"""
+    if not isinstance(cell_text, str):
+        return str(cell_text)
     cell_text = re.sub(r'\[(.*?)\]\((.*?)\)', r'<a href="\2">\1</a>', cell_text)
-    return cell_text
+    return cell_text.strip()
 
-text = open("/home/runner/work/awesome-computational-primatology/awesome-computational-primatology/README.md", "r").readlines()
-table = []
-# | Year | Paper | Topic | Animal | Model? | Data? | Image/Video Count |
-for line in text:
-    # If line has the correct number of columns
-    if len(re.findall("\|", line)) == 8:
-        table.append(line.split("|")[1:-1])
-table = pd.DataFrame(table[2:], columns=table[0])
+def extract_table_from_readme(readme_path: str) -> pd.DataFrame:
+    """Extract the main projects table from README.md"""
+    with open(readme_path, "r", encoding='utf-8') as f:
+        text = f.readlines()
+    
+    table = []
+    in_projects_section = False
+    
+    for line in text:
+        # Check if we're in the Projects section
+        if line.strip() == "### Projects":
+            in_projects_section = True
+            continue
+        
+        # Stop if we hit another section
+        if in_projects_section and line.startswith("### ") and "Projects" not in line:
+            break
+            
+        # Extract table rows (has 8 | characters for 7 columns)
+        if in_projects_section and len(re.findall(r"\|", line)) == 8:
+            row = [cell.strip() for cell in line.split("|")[1:-1]]
+            table.append(row)
+    
+    if len(table) < 2:
+        raise ValueError("Could not find valid table in README.md")
+    
+    # First row is header, second row is separator, rest is data
+    header = table[0]
+    data = table[2:] if len(table) > 2 else []
+    
+    df = pd.DataFrame(data, columns=header)
+    # Apply markdown to HTML conversion
+    df = df.applymap(to_link_if_markdown)
+    
+    return df
 
-# Substitutions:
-table = table.applymap(to_link_if_markdown)
-
-
-# %%
-with open("/home/runner/work/awesome-computational-primatology/awesome-computational-primatology/index.html", "w") as f:
-    f.write("""<html>
+def get_enhanced_html_template() -> str:
+    """Return the enhanced HTML template"""
+    return '''<!DOCTYPE html>
+<html>
     <head>
-    <script type="text/javascript" src="//ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.js"></script>
-    <link rel="stylesheet" href="https://cdn.datatables.net/2.0.2/css/dataTables.dataTables.css" />
-    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/water.css@2/out/water.css">
-    <script src="https://cdn.datatables.net/2.0.2/js/dataTables.js"></script>
+        <meta charset="UTF-8">
+        <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <title>Awesome Computational Primatology</title>
+        
+        <!-- External Libraries -->
+        <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>
+        <link rel="stylesheet" href="https://cdn.datatables.net/2.0.2/css/dataTables.dataTables.css" />
+        <link rel="stylesheet" href="https://cdn.datatables.net/buttons/3.0.0/css/buttons.dataTables.css" />
+        <link rel="stylesheet" href="https://cdn.datatables.net/searchpanes/2.3.0/css/searchPanes.dataTables.css" />
+        <link rel="stylesheet" href="https://cdn.datatables.net/select/2.0.0/css/select.dataTables.css" />
+        
+        <script src="https://cdn.datatables.net/2.0.2/js/dataTables.js"></script>
+        <script src="https://cdn.datatables.net/buttons/3.0.0/js/dataTables.buttons.js"></script>
+        <script src="https://cdn.datatables.net/buttons/3.0.0/js/buttons.html5.min.js"></script>
+        <script src="https://cdn.datatables.net/searchpanes/2.3.0/js/dataTables.searchPanes.js"></script>
+        <script src="https://cdn.datatables.net/select/2.0.0/js/dataTables.select.js"></script>
+        
+        <!-- Icons -->
+        <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css">
+        
+        <style>
+            :root {
+                --primary-color: #2c3e50;
+                --secondary-color: #3498db;
+                --accent-color: #e74c3c;
+                --success-color: #27ae60;
+                --warning-color: #f39c12;
+                --background-color: #f8f9fa;
+                --card-background: #ffffff;
+                --text-color: #2c3e50;
+                --border-color: #dee2e6;
+                --shadow: 0 2px 4px rgba(0,0,0,0.1);
+            }
+            
+            * {
+                box-sizing: border-box;
+            }
+            
+            body {
+                font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+                background-color: var(--background-color);
+                margin: 0;
+                padding: 20px;
+                color: var(--text-color);
+                line-height: 1.6;
+            }
+            
+            .container {
+                max-width: 1400px;
+                margin: 0 auto;
+                background: var(--card-background);
+                padding: 30px;
+                border-radius: 12px;
+                box-shadow: var(--shadow);
+            }
+            
+            .header {
+                text-align: center;
+                margin-bottom: 40px;
+                padding-bottom: 20px;
+                border-bottom: 2px solid var(--border-color);
+            }
+            
+            h1 {
+                color: var(--primary-color);
+                font-size: 2.5rem;
+                margin-bottom: 10px;
+                font-weight: 700;
+            }
+            
+            .subtitle {
+                color: #666;
+                font-size: 1.1rem;
+                margin-bottom: 20px;
+            }
+            
+            .stats {
+                display: flex;
+                justify-content: center;
+                gap: 30px;
+                margin-bottom: 20px;
+                flex-wrap: wrap;
+            }
+            
+            .stat-item {
+                text-align: center;
+                padding: 15px;
+                background: linear-gradient(135deg, var(--secondary-color), #5dade2);
+                color: white;
+                border-radius: 8px;
+                min-width: 120px;
+                box-shadow: var(--shadow);
+            }
+            
+            .stat-number {
+                font-size: 1.8rem;
+                font-weight: bold;
+                display: block;
+            }
+            
+            .stat-label {
+                font-size: 0.9rem;
+                opacity: 0.9;
+            }
+            
+            .legend {
+                background: #f8f9fa;
+                padding: 20px;
+                border-radius: 8px;
+                margin-bottom: 30px;
+                border-left: 4px solid var(--secondary-color);
+            }
+            
+            .legend h3 {
+                margin-top: 0;
+                color: var(--primary-color);
+            }
+            
+            .legend-grid {
+                display: grid;
+                grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+                gap: 10px;
+                margin-top: 15px;
+            }
+            
+            .legend-item {
+                display: flex;
+                align-items: center;
+                gap: 8px;
+            }
+            
+            .legend-badge {
+                background: var(--secondary-color);
+                color: white;
+                padding: 2px 8px;
+                border-radius: 4px;
+                font-size: 0.8rem;
+                font-weight: bold;
+                min-width: 35px;
+                text-align: center;
+            }
+            
+            .table-container {
+                background: white;
+                border-radius: 8px;
+                overflow: hidden;
+                box-shadow: var(--shadow);
+            }
+            
+            table.dataTable {
+                border-collapse: separate;
+                border-spacing: 0;
+                width: 100% !important;
+                margin: 0 !important;
+            }
+            
+            table.dataTable thead th {
+                background: linear-gradient(135deg, var(--primary-color), #34495e);
+                color: white;
+                padding: 15px 10px;
+                font-weight: 600;
+                text-align: left;
+                border: none;
+                position: sticky;
+                top: 0;
+                z-index: 10;
+            }
+            
+            table.dataTable tbody td {
+                padding: 12px 10px;
+                border-bottom: 1px solid #eee;
+                vertical-align: middle;
+            }
+            
+            table.dataTable tbody tr:hover {
+                background-color: #f8f9fa;
+            }
+            
+            .status-badge {
+                padding: 4px 8px;
+                border-radius: 20px;
+                font-size: 0.8rem;
+                font-weight: 600;
+                text-decoration: none !important;
+                display: inline-block;
+            }
+            
+            .status-yes {
+                background: #d4edda;
+                color: #155724;
+                border: 1px solid #c3e6cb;
+            }
+            
+            .status-no {
+                background: #f8d7da;
+                color: #721c24;
+                border: 1px solid #f5c6cb;
+            }
+            
+            .status-partial {
+                background: #fff3cd;
+                color: #856404;
+                border: 1px solid #ffeeba;
+            }
+            
+            .status-request {
+                background: #d1ecf1;
+                color: #0c5460;
+                border: 1px solid #bee5eb;
+            }
+            
+            .topic-tag {
+                background: var(--secondary-color);
+                color: white;
+                padding: 2px 6px;
+                border-radius: 3px;
+                font-size: 0.75rem;
+                margin-right: 4px;
+                display: inline-block;
+                margin-bottom: 2px;
+            }
+            
+            .year-cell {
+                font-weight: 600;
+                color: var(--primary-color);
+                background: linear-gradient(135deg, #ecf0f1, #bdc3c7);
+                text-align: center;
+            }
+            
+            .species-macaque { background-color: #e8f5e8; }
+            .species-chimp { background-color: #fff3e0; }
+            .species-gorilla { background-color: #f3e5f5; }
+            .species-marmoset { background-color: #e1f5fe; }
+            .species-cross { background-color: #f9f9f9; }
+            
+            .dt-button {
+                background: var(--secondary-color) !important;
+                color: white !important;
+                border: none !important;
+                padding: 8px 15px !important;
+                border-radius: 6px !important;
+                margin-right: 8px !important;
+                font-size: 0.9rem !important;
+                transition: all 0.3s ease !important;
+            }
+            
+            .dt-button:hover {
+                background: #2980b9 !important;
+                transform: translateY(-1px);
+                box-shadow: 0 4px 8px rgba(0,0,0,0.2) !important;
+            }
+            
+            /* Footer */
+            .footer {
+                margin-top: 40px;
+                padding: 30px 20px;
+                background: linear-gradient(135deg, #f8f9fa, #e9ecef);
+                border-radius: 8px;
+                text-align: center;
+                border-top: 3px solid var(--secondary-color);
+            }
+            
+            .footer p {
+                margin: 8px 0;
+                color: #666;
+            }
+            
+            .footer a {
+                color: var(--secondary-color);
+                text-decoration: none;
+                font-weight: 500;
+                transition: color 0.3s ease;
+            }
+            
+            .footer a:hover {
+                color: var(--primary-color);
+                text-decoration: underline;
+            }
+            
+            .footer-note {
+                font-size: 0.9rem;
+                color: #888;
+            }
+            
+            #last-updated {
+                font-weight: 600;
+                color: var(--secondary-color);
+            }
+            
+            @media (max-width: 768px) {
+                .container { padding: 15px; }
+                h1 { font-size: 2rem; }
+                .stats { gap: 15px; }
+                .stat-item { min-width: 100px; padding: 10px; }
+                table.dataTable thead th,
+                table.dataTable tbody td { padding: 8px 6px; font-size: 0.9rem; }
+                .legend-grid { grid-template-columns: 1fr; }
+                .footer { margin-top: 20px; padding: 20px 15px; }
+            }
+        </style>
     </head>
     <body>
-    <h1>Awesome Computational Primatology</h1>
-    """)
-    f.write(table.to_html(table_id="table", escape=False, index=False))
-    f.write("""<script>$(document).ready( function () {
-            $('#table').DataTable({
-                paging: false
+        <div class="container">
+            <div class="header">
+                <h1>🐒 Awesome Computational Primatology</h1>
+                <p class="subtitle">A curated list of machine learning research for non-human primatology</p>
+                
+                <div class="stats">
+                    <div class="stat-item">
+                        <span class="stat-number" id="total-papers">{total_papers}</span>
+                        <span class="stat-label">Papers</span>
+                    </div>
+                    <div class="stat-item">
+                        <span class="stat-number" id="years-span">{years_span}</span>
+                        <span class="stat-label">Years</span>
+                    </div>
+                    <div class="stat-item">
+                        <span class="stat-number" id="with-code">{with_code}</span>
+                        <span class="stat-label">With Code</span>
+                    </div>
+                    <div class="stat-item">
+                        <span class="stat-number" id="with-data">{with_data}</span>
+                        <span class="stat-label">With Data</span>
+                    </div>
+                </div>
+            </div>
+            
+            <div class="legend">
+                <h3>🏷️ Topic Legend</h3>
+                <div class="legend-grid">
+                    <div class="legend-item">
+                        <span class="legend-badge">PD</span>
+                        <span>Primate Detection</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">BPE</span>
+                        <span>Body Pose Estimation</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FD</span>
+                        <span>Face Detection</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FLE</span>
+                        <span>Facial Landmark Estimation</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FR</span>
+                        <span>Face Recognition</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FAC</span>
+                        <span>Facial Action Coding</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">BR</span>
+                        <span>Behavior Recognition</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">AM</span>
+                        <span>Avatar/Mesh</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">SI</span>
+                        <span>Species Identification</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">RL</span>
+                        <span>Reinforcement Learning</span>
+                    </div>
+                </div>
+            </div>
+            
+            <div class="table-container">
+                {table_html}
+            </div>
+            
+            <div class="footer">
+                <p>
+                    <strong>Maintained by:</strong> 
+                    <a href="http://kordinglab.com" target="_blank">🧠 Kording Lab</a> • 
+                    <a href="mailto:fparodi@upenn.edu">📧 Felipe Parodi</a> • 
+                    <a href="https://github.com/KordingLab/awesome-computational-primatology" target="_blank">⭐ Star on GitHub</a>
+                </p>
+                <p class="footer-note">
+                    Found a paper we missed? <a href="https://github.com/KordingLab/awesome-computational-primatology/blob/main/CONTRIBUTING.md">Contribute here!</a> 
+                    • Last updated: <span id="last-updated"></span>
+                </p>
+            </div>
+        </div>
+        
+        <script>
+        $(document).ready(function() {
+            var table = $('#table').DataTable({
+                paging: true,
+                pageLength: 25,
+                lengthMenu: [10, 25, 50, 100, -1],
+                searching: true,
+                ordering: true,
+                info: true,
+                responsive: true,
+                
+                dom: 'Bfrtip',
+                buttons: [
+                    {
+                        extend: 'searchPanes',
+                        config: {
+                            cascadePanes: true,
+                            viewTotal: true,
+                            columns: [0, 2, 3, 4, 5]
+                        }
+                    },
+                    'copy', 'csv', 'excel',
+                    {
+                        text: 'Clear Filters',
+                        action: function(e, dt, node, config) {
+                            dt.searchPanes.clearSelections();
+                        }
+                    }
+                ],
+                
+                searchPanes: {
+                    cascadePanes: true,
+                    viewTotal: true,
+                    columns: [0, 2, 3, 4, 5],
+                    initCollapsed: true
+                },
+                
+                columnDefs: [
+                    {
+                        targets: 0,
+                        type: 'num',
+                        className: 'year-cell',
+                        width: '80px'
+                    },
+                    {
+                        targets: 2,
+                        width: '150px',
+                        render: function(data, type, row) {
+                            if (type === 'display') {
+                                const topics = data.split(', ');
+                                return topics.map(topic => 
+                                    '<span class="topic-tag">' + topic.trim() + '</span>'
+                                ).join(' ');
+                            }
+                            return data;
+                        }
+                    },
+                    {
+                        targets: 3,
+                        width: '120px',
+                        render: function(data, type, row) {
+                            if (type === 'display') {
+                                let className = 'species-cross';
+                                const lowerData = data.toLowerCase();
+                                if (lowerData.includes('macaque')) className = 'species-macaque';
+                                else if (lowerData.includes('chimp')) className = 'species-chimp';
+                                else if (lowerData.includes('gorilla')) className = 'species-gorilla';
+                                else if (lowerData.includes('marmoset')) className = 'species-marmoset';
+                                
+                                return '<span class="' + className + '" style="padding: 4px 8px; border-radius: 4px; display: inline-block;">' + data + '</span>';
+                            }
+                            return data;
+                        }
+                    },
+                    {
+                        targets: [4, 5],
+                        width: '100px',
+                        render: function(data, type, row) {
+                            if (type === 'display') {
+                                let className = 'status-no';
+                                let icon = '<i class="fas fa-times"></i> ';
+                                
+                                if (data.includes('Yes')) {
+                                    className = 'status-yes';
+                                    icon = '<i class="fas fa-check"></i> ';
+                                } else if (data.includes('Code only') || data.includes('Some')) {
+                                    className = 'status-partial';
+                                    icon = '<i class="fas fa-code"></i> ';
+                                } else if (data.includes('Upon request')) {
+                                    className = 'status-request';
+                                    icon = '<i class="fas fa-envelope"></i> ';
+                                }
+                                
+                                return '<span class="status-badge ' + className + '">' + icon + data + '</span>';
+                            }
+                            return data;
+                        }
+                    }
+                ],
+                
+                order: [[0, 'desc']],
+                
+                language: {
+                    search: '<i class="fas fa-search"></i>',
+                    searchPlaceholder: 'Search papers...',
+                    lengthMenu: 'Show _MENU_ papers per page',
+                    info: 'Showing _START_ to _END_ of _TOTAL_ papers',
+                    processing: '<i class="fas fa-spinner fa-spin"></i> Loading...'
+                }
+            });
+            
+            // Set last updated date
+            const lastUpdated = new Date().toLocaleDateString('en-US', {
+                year: 'numeric',
+                month: 'long',
+                day: 'numeric'
             });
-        } );</script>
+            document.getElementById('last-updated').textContent = lastUpdated;
+        });
+        </script>
     </body>
-    </html>""")
-# %%
+</html>'''
+
+def calculate_stats(df: pd.DataFrame) -> dict:
+    """Calculate statistics from the dataframe"""
+    total_papers = len(df)
+    
+    # Count years
+    years = set()
+    for year in df.iloc[:, 0]:  # First column is year
+        if str(year).isdigit():
+            years.add(int(year))
+    years_span = len(years)
+    
+    # Count papers with code (Model column)
+    with_code = 0
+    model_col = df.iloc[:, 4] if len(df.columns) > 4 else pd.Series()  # Model column
+    for value in model_col:
+        if isinstance(value, str) and ('Yes' in value or 'Code only' in value):
+            with_code += 1
+    
+    # Count papers with data (Data column)  
+    with_data = 0
+    data_col = df.iloc[:, 5] if len(df.columns) > 5 else pd.Series()  # Data column
+    for value in data_col:
+        if isinstance(value, str) and 'Yes' in value:
+            with_data += 1
+    
+    return {
+        'total_papers': total_papers,
+        'years_span': years_span,
+        'with_code': with_code,
+        'with_data': with_data
+    }
+
+def main():
+    """Main function to generate the website"""
+    # Determine if running in GitHub Actions or locally
+    if os.path.exists("/home/runner/work"):
+        # GitHub Actions
+        base_path = "/home/runner/work/awesome-computational-primatology/awesome-computational-primatology"
+    else:
+        # Local development - go up 2 levels from .github/workflows/
+        script_dir = os.path.dirname(os.path.abspath(__file__))  # .github/workflows/
+        base_path = os.path.dirname(os.path.dirname(script_dir))  # repository root
+    
+    readme_path = os.path.join(base_path, "README.md")
+    output_path = os.path.join(base_path, "index.html")
+    
+    print(f"Script location: {os.path.abspath(__file__)}")
+    print(f"Base path: {base_path}")
+    print(f"README path: {readme_path}")
+    print(f"Output path: {output_path}")
+    
+    try:
+        # Extract table from README
+        df = extract_table_from_readme(readme_path)
+        print(f"Extracted table with {len(df)} rows and {len(df.columns)} columns")
+        
+        # Calculate statistics
+        stats = calculate_stats(df)
+        print(f"Statistics: {stats}")
+        
+        # Generate table HTML
+        table_html = df.to_html(
+            table_id="table",
+            escape=False,
+            index=False,
+            classes="display"
+        )
+        
+        # Get template and format with data
+        template = get_enhanced_html_template()
+        html_content = template.replace('{table_html}', table_html)
+        html_content = html_content.replace('{total_papers}', str(stats['total_papers']))
+        html_content = html_content.replace('{years_span}', str(stats['years_span']))
+        html_content = html_content.replace('{with_code}', str(stats['with_code']))
+        html_content = html_content.replace('{with_data}', str(stats['with_data']))
+        
+        # Write output
+        with open(output_path, "w", encoding='utf-8') as f:
+            f.write(html_content)
+        
+        print(f"✅ Generated enhanced website: {output_path}")
+        
+    except Exception as e:
+        print(f"❌ Error generating website: {e}")
+        raise
+
+if __name__ == "__main__":
+    main()

.gitignore

@@ -17,4 +17,7 @@ Thumbs.db
 
 # Personal notes
 TODO.md
-NOTES.md
+NOTES.md
+
+# Claude Desktop
+.claude/

CONTRIBUTING.md

@@ -1,6 +1,31 @@
-# Contribution Workflow for Awesome Computational Primatology
+# Contributing to Awesome Computational Primatology
 
-Thank you for your interest in contributing!
+Thank you for your interest in contributing! This document explains how to add papers and improve the project.
+
+## 🚀 Quick Start
+
+### Preview Your Changes Locally
+```bash
+# 1. Fork and clone the repository
+git clone https://github.com/YOUR-USERNAME/awesome-computational-primatology.git
+cd awesome-computational-primatology
+
+# 2. Make your changes to README.md
+
+# 3. Generate and preview the website
+python .github/workflows/website.py
+python -m http.server 8000
+# Visit: http://localhost:8000
+
+# 4. Create a pull request
+```
+
+### Automatic PR Previews
+When you submit a PR, our automation will:
+- ✅ Generate a preview website with your changes
+- ✅ Post a comment with the preview link
+- ✅ Validate table formatting and links
+- ✅ Update the website automatically when merged
 
 ### 1. Branch Protocol
 - Fork the repository
@@ -57,6 +82,7 @@ Use these abbreviations for the Topic column:
 - FD: Face Detection
 - FLE: Facial Landmark Estimation
 - FR: Face Recognition and/or Re-Identification
+- FAC: Facial Action Coding / Units
 - HD: Hand Detection
 - HPE: Hand Pose Estimation
 - BR: Behavior Recognition / Understanding / Modeling

README.md

@@ -1,7 +1,7 @@
-# [Awesome Computational Primatology](http://kordinglab.com/awesome-computational-primatology/)
+# 🐒 [Awesome Computational Primatology](http://kordinglab.com/awesome-computational-primatology/)
 
 [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
-[![Papers](https://img.shields.io/badge/Papers-50+-blue)](https://github.com/KordingLab/awesome-computational-primatology#projects)
+[![Papers](https://img.shields.io/badge/Papers-58+-blue)](https://github.com/KordingLab/awesome-computational-primatology#projects)
 [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/KordingLab/awesome-computational-primatology/blob/main/CONTRIBUTING.md)
 [![Last Updated](https://img.shields.io/github/last-commit/KordingLab/awesome-computational-primatology?label=last%20updated)](https://github.com/KordingLab/awesome-computational-primatology/commits/main)
 
@@ -10,7 +10,20 @@ This repository contains the corpus of projects at the intersection of deep lear
 By compiling and highlighting this growing literature, we hope it will inspire future researchers to open-source their own models and data to advance the field.
 
 ## Contribute to the List!
-We welcome contributions from the community. If you know of a relevant paper or project, please read our [Contributing Guidelines](CONTRIBUTING.md) and submit a pull request! 
+We welcome contributions from the community! If you know of a relevant paper or project:
+
+1. **🍴 Fork** this repository
+2. **✏️ Add** your paper to the table in chronological order
+3. **🔍 Preview** your changes: `python scripts/dev-preview.py`
+4. **📤 Submit** a pull request
+
+**Features for contributors:**
+- 🔗 Automatic link checking
+- 🌐 Live preview of your changes
+- 📊 Auto-generated website updates
+- ✅ Format validation
+
+Read our [Contributing Guidelines](CONTRIBUTING.md) for detailed instructions!
 
 By sharing your datasets and models, you contribute to advancing primatology and enable reproducible research.
 
@@ -22,7 +35,8 @@ By sharing your datasets and models, you contribute to advancing primatology and
 | BPE | Body Pose Estimation | 
 | FD | Face Detection |
 | FLE | Facial Landmark Estimation |
-| FR | Face Recognition and/or Re-Identification | 
+| FR | Face Recognition and/or Re-Identification |
+| FAC | Facial Action Coding / Units | 
 | HD | Hand Detection | 
 | HPE | Hand Pose Estimation | 
 | BR | Behavior Recognition / Understanding / Modeling |
@@ -40,14 +54,20 @@ By sharing your datasets and models, you contribute to advancing primatology and
 ### Projects
 | Year | Paper | Topic | Animal | Model? | Data? | Image/Video Count | 
 |------|-----|-------|---------|------------|---------------|-------------|
+| 2025 | [PrimateFace](https://www.biorxiv.org/content/10.1101/2025.08.12.669927v1) | FD, FLE, FR, FAC | Cross-species | [Yes](https://github.com/KordingLab/PrimateFace) | [Yes](https://github.com/KordingLab/PrimateFace) | 200K+ images |
 | 2024 | [PanAf20K](https://link.springer.com/article/10.1007/s11263-024-02003-z) | PD, BR | Apes | [No](https://github.com/obrookes/panaf.github.io) | [Yes](https://data.bris.ac.uk/data/dataset/1h73erszj3ckn2qjwm4sqmr2wt) | 20k |
 | 2024 | [Gris et al.](https://docserver.ingentaconnect.com/deliver/fasttrack/aalas/15596109/jaalas_23000056.pdf?expires=1710859610&id=pennsylvaniapa&checksum=13D04EE26CE4C36535F9651507F83EDC) | FD, O | Macaque | No | No | N/A |
 | 2024 | [MacAction](https://www.biorxiv.org/content/10.1101/2024.01.29.577734v1.full.pdf) | AM | Macaque | No | No | N/A |
 | 2024 | [LabGym](https://link-springer-com.proxy.library.upenn.edu/epdf/10.1007/s10329-024-01123-x?sharing_token=_ApwJ7je3dmaWjW7cYNbUPe4RwlQNchNByi7wbcMAY4h1wHpdNqXXEnVHidjh8t56BEMyNJkqC8xIJ-ZpXK78qFoYXZ7oq8pYO62wVWzEHVj6fEbKl9wvAlIYBLr4-giBZwcMH2HZvRPiyRk4I1-_3hbhgnYy_ZtE0jBSB4UJo4=) | BR | Macaque | [Yes](https://github.com/umyelab/LabGym) | Yes | N/A |
+| 2024 | [Cheng et al.](https://www.biorxiv.org/content/10.1101/2024.02.27.582429v3.full.pdf) | BR | Macaque | No | No | N/A |
+| 2024 | [PRIMAT (Vogg et al.)](https://www.biorxiv.org/content/10.1101/2024.08.21.607881v1.full.pdf) | 2D BPE | Cross-species | No | No | N/A |
+| 2024 | [Franch et al.](https://www-nature-com.proxy.library.upenn.edu/articles/s41586-024-07084-x) | BR | Macaque | No | No | N/A |
+| 2024 | [Xing et al.](https://www.biorxiv.org/content/10.1101/2024.02.16.580693v1.full.pdf) | O | Marmoset | No | No | N/A |
+| 2024 | [Menegas et al.](https://www.biorxiv.org/content/10.1101/2024.08.30.610159v1.full.pdf) | BR | Marmoset | No | No | N/A |
 | 2023 | [GorillaVision](https://inf-cv.uni-jena.de/wordpress/wp-content/uploads/2023/09/Talk-12-Maximilian-Schall.pdf) | FD, FR | Gorilla | [Yes](https://github.com/Lasklu/gorillavision) | No | 832 |
 | 2023 | [Abbaspoor, Rahman et al.](https://www.biorxiv.org/content/10.1101/2023.12.11.571113v1.abstract) | 3D BPE | Macaque | No | No | N/A |
 | 2023 | [Mimura et al.](https://www.biorxiv.org/content/10.1101/2023.03.04.531044v3.abstract) | BR | Macaque, Marmoset | No | No | N/A |
-| 2023 | [Schofield et al.](https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.14181) | FD, FR | Chimp | No | No | N/A
+| 2023 | [Schofield et al.](https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.14181) | FD, FR | Chimp | No | No | N/A |
 | 2023 | [Yang et al.](https://arxiv.org/pdf/2205.00275.pdf) | PD | Great Ape | No | No | N/A |
 | 2023 | [ASBAR](https://www.biorxiv.org/content/10.1101/2023.09.24.559236v1.full.pdf) | BR | Chimp, Gorilla | Yes | [Yes](https://github.com/MitchFuchs/asbar) | 5,440 labels |
 | 2023 | [DeepWild](https://besjournals-onlinelibrary-wiley-com.proxy.library.upenn.edu/doi/full/10.1111/1365-2656.13932) | 2D BPE | Chimp, Bonobo | [Yes](https://github.com/Wild-Minds/DeepWild) | [Upon request](https://doi-org.proxy.library.upenn.edu/10.5281/zenodo.5600472) | N/A |
@@ -95,7 +115,24 @@ By sharing your datasets and models, you contribute to advancing primatology and
 | 2011 | [Loos et al.](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7074032) | FR | Chimp | No | No | N/A | 
 | 2011 | [Ernst & Küblbeck](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6027337) | FD, SI | Chimp, Gorilla | No | No | N/A |
 
-#### Datasets with both primate and non-primate data
+### Datasets
+
+#### Primate-Specific Datasets
+| Year | Dataset Name | Description | Species | Size | Availability |
+|------|-------------|-------------|---------|------|--------------|
+| 2025 | [PrimateFace](https://www.biorxiv.org/content/10.1101/2025.08.12.669927v1) | Face analysis | Cross-species | 200K+ images | Public |
+| 2024 | [PanAf20K](https://data.bris.ac.uk/data/dataset/1h73erszj3ckn2qjwm4sqmr2wt) | Detection and behavior | Apes | 20,000 videos | Public |
+| 2023 | [OpenMonkeyChallenge](http://openmonkeychallenge.com/) | 2D pose estimation | Cross-species | 111,529 images | Public |
+| 2021 | [GreatApe Dictionary](https://zenodo.org/records/5600472#.YX1_ddbMK_J) | Behavioral annotations | Chimps | N/A | Upon request |
+| 2021 | [MacaquePose](https://github.com/MacaquePose/MacaquePose) | 2D pose estimation | Macaque | 13,000 images | Public |
+| 2021 | [OpenApePose](https://github.com/OpenApePose/OpenApePose) | 2D pose estimation | Cross-species | 71,868 images | Public |
+| 2020 | [OpenMonkeyStudio](https://github.com/OpenMonkeyStudio/OMS_Data) | 3D pose estimation | Macaque | 195,228 frames | Public |
+| 2020 | [Tri-A](https://data.mendeley.com/datasets/z3x59pv4bz/2) | Face detection/recognition | 41 species | 102,399 images | Public |
+| 2018 | [Macaque Faces](https://figshare.com/articles/dataset/Macaque_Faces/9862586/1?file=17682749) | Facial landmarks | Macaque | 4,000 images | Public |
+| 2017 | [LemurFaceID](http://biometrics.cse.msu.edu/Publications/Databases/MSU_LemurFaceID/) | Face recognition | Lemur | 462 images | Public |
+| 2016 | [Chimpanzee Faces](https://github.com/cvjena/chimpanzee_faces) | Face recognition | Chimp | 6,486 images | Public |
+
+#### Dataset with both primate and non-primate data
 | Year | Paper | Topic | Animal | Model? | Data? | Image/Video Count | 
 |------|-----|-------|---------|------------|---------------|-------------|
 | 2023 | [MammalNet](https://arxiv.org/pdf/2306.00576.pdf) | BR | Cross-species | [Yes](https://github.com/Vision-CAIR/MammalNet) | [Yes](https://mammal-net.github.io/) | 18k videos |

index.html

@@ -1,13 +1,381 @@
+<!DOCTYPE html>
 <html>
     <head>
-    <script type="text/javascript" src="//ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.js"></script>
-    <link rel="stylesheet" href="https://cdn.datatables.net/2.0.2/css/dataTables.dataTables.css" />
-    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/water.css@2/out/water.css">
-    <script src="https://cdn.datatables.net/2.0.2/js/dataTables.js"></script>
+        <meta charset="UTF-8">
+        <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <title>Awesome Computational Primatology</title>
+        
+        <!-- External Libraries -->
+        <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>
+        <link rel="stylesheet" href="https://cdn.datatables.net/2.0.2/css/dataTables.dataTables.css" />
+        <link rel="stylesheet" href="https://cdn.datatables.net/buttons/3.0.0/css/buttons.dataTables.css" />
+        <link rel="stylesheet" href="https://cdn.datatables.net/searchpanes/2.3.0/css/searchPanes.dataTables.css" />
+        <link rel="stylesheet" href="https://cdn.datatables.net/select/2.0.0/css/select.dataTables.css" />
+        
+        <script src="https://cdn.datatables.net/2.0.2/js/dataTables.js"></script>
+        <script src="https://cdn.datatables.net/buttons/3.0.0/js/dataTables.buttons.js"></script>
+        <script src="https://cdn.datatables.net/buttons/3.0.0/js/buttons.html5.min.js"></script>
+        <script src="https://cdn.datatables.net/searchpanes/2.3.0/js/dataTables.searchPanes.js"></script>
+        <script src="https://cdn.datatables.net/select/2.0.0/js/dataTables.select.js"></script>
+        
+        <!-- Icons -->
+        <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css">
+        
+        <style>
+            :root {
+                --primary-color: #2c3e50;
+                --secondary-color: #3498db;
+                --accent-color: #e74c3c;
+                --success-color: #27ae60;
+                --warning-color: #f39c12;
+                --background-color: #f8f9fa;
+                --card-background: #ffffff;
+                --text-color: #2c3e50;
+                --border-color: #dee2e6;
+                --shadow: 0 2px 4px rgba(0,0,0,0.1);
+            }
+            
+            * {
+                box-sizing: border-box;
+            }
+            
+            body {
+                font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+                background-color: var(--background-color);
+                margin: 0;
+                padding: 20px;
+                color: var(--text-color);
+                line-height: 1.6;
+            }
+            
+            .container {
+                max-width: 1400px;
+                margin: 0 auto;
+                background: var(--card-background);
+                padding: 30px;
+                border-radius: 12px;
+                box-shadow: var(--shadow);
+            }
+            
+            .header {
+                text-align: center;
+                margin-bottom: 40px;
+                padding-bottom: 20px;
+                border-bottom: 2px solid var(--border-color);
+            }
+            
+            h1 {
+                color: var(--primary-color);
+                font-size: 2.5rem;
+                margin-bottom: 10px;
+                font-weight: 700;
+            }
+            
+            .subtitle {
+                color: #666;
+                font-size: 1.1rem;
+                margin-bottom: 20px;
+            }
+            
+            .stats {
+                display: flex;
+                justify-content: center;
+                gap: 30px;
+                margin-bottom: 20px;
+                flex-wrap: wrap;
+            }
+            
+            .stat-item {
+                text-align: center;
+                padding: 15px;
+                background: linear-gradient(135deg, var(--secondary-color), #5dade2);
+                color: white;
+                border-radius: 8px;
+                min-width: 120px;
+                box-shadow: var(--shadow);
+            }
+            
+            .stat-number {
+                font-size: 1.8rem;
+                font-weight: bold;
+                display: block;
+            }
+            
+            .stat-label {
+                font-size: 0.9rem;
+                opacity: 0.9;
+            }
+            
+            .legend {
+                background: #f8f9fa;
+                padding: 20px;
+                border-radius: 8px;
+                margin-bottom: 30px;
+                border-left: 4px solid var(--secondary-color);
+            }
+            
+            .legend h3 {
+                margin-top: 0;
+                color: var(--primary-color);
+            }
+            
+            .legend-grid {
+                display: grid;
+                grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+                gap: 10px;
+                margin-top: 15px;
+            }
+            
+            .legend-item {
+                display: flex;
+                align-items: center;
+                gap: 8px;
+            }
+            
+            .legend-badge {
+                background: var(--secondary-color);
+                color: white;
+                padding: 2px 8px;
+                border-radius: 4px;
+                font-size: 0.8rem;
+                font-weight: bold;
+                min-width: 35px;
+                text-align: center;
+            }
+            
+            .table-container {
+                background: white;
+                border-radius: 8px;
+                overflow: hidden;
+                box-shadow: var(--shadow);
+            }
+            
+            table.dataTable {
+                border-collapse: separate;
+                border-spacing: 0;
+                width: 100% !important;
+                margin: 0 !important;
+            }
+            
+            table.dataTable thead th {
+                background: linear-gradient(135deg, var(--primary-color), #34495e);
+                color: white;
+                padding: 15px 10px;
+                font-weight: 600;
+                text-align: left;
+                border: none;
+                position: sticky;
+                top: 0;
+                z-index: 10;
+            }
+            
+            table.dataTable tbody td {
+                padding: 12px 10px;
+                border-bottom: 1px solid #eee;
+                vertical-align: middle;
+            }
+            
+            table.dataTable tbody tr:hover {
+                background-color: #f8f9fa;
+            }
+            
+            .status-badge {
+                padding: 4px 8px;
+                border-radius: 20px;
+                font-size: 0.8rem;
+                font-weight: 600;
+                text-decoration: none !important;
+                display: inline-block;
+            }
+            
+            .status-yes {
+                background: #d4edda;
+                color: #155724;
+                border: 1px solid #c3e6cb;
+            }
+            
+            .status-no {
+                background: #f8d7da;
+                color: #721c24;
+                border: 1px solid #f5c6cb;
+            }
+            
+            .status-partial {
+                background: #fff3cd;
+                color: #856404;
+                border: 1px solid #ffeeba;
+            }
+            
+            .status-request {
+                background: #d1ecf1;
+                color: #0c5460;
+                border: 1px solid #bee5eb;
+            }
+            
+            .topic-tag {
+                background: var(--secondary-color);
+                color: white;
+                padding: 2px 6px;
+                border-radius: 3px;
+                font-size: 0.75rem;
+                margin-right: 4px;
+                display: inline-block;
+                margin-bottom: 2px;
+            }
+            
+            .year-cell {
+                font-weight: 600;
+                color: var(--primary-color);
+                background: linear-gradient(135deg, #ecf0f1, #bdc3c7);
+                text-align: center;
+            }
+            
+            .species-macaque { background-color: #e8f5e8; }
+            .species-chimp { background-color: #fff3e0; }
+            .species-gorilla { background-color: #f3e5f5; }
+            .species-marmoset { background-color: #e1f5fe; }
+            .species-cross { background-color: #f9f9f9; }
+            
+            .dt-button {
+                background: var(--secondary-color) !important;
+                color: white !important;
+                border: none !important;
+                padding: 8px 15px !important;
+                border-radius: 6px !important;
+                margin-right: 8px !important;
+                font-size: 0.9rem !important;
+                transition: all 0.3s ease !important;
+            }
+            
+            .dt-button:hover {
+                background: #2980b9 !important;
+                transform: translateY(-1px);
+                box-shadow: 0 4px 8px rgba(0,0,0,0.2) !important;
+            }
+            
+            /* Footer */
+            .footer {
+                margin-top: 40px;
+                padding: 30px 20px;
+                background: linear-gradient(135deg, #f8f9fa, #e9ecef);
+                border-radius: 8px;
+                text-align: center;
+                border-top: 3px solid var(--secondary-color);
+            }
+            
+            .footer p {
+                margin: 8px 0;
+                color: #666;
+            }
+            
+            .footer a {
+                color: var(--secondary-color);
+                text-decoration: none;
+                font-weight: 500;
+                transition: color 0.3s ease;
+            }
+            
+            .footer a:hover {
+                color: var(--primary-color);
+                text-decoration: underline;
+            }
+            
+            .footer-note {
+                font-size: 0.9rem;
+                color: #888;
+            }
+            
+            #last-updated {
+                font-weight: 600;
+                color: var(--secondary-color);
+            }
+            
+            @media (max-width: 768px) {
+                .container { padding: 15px; }
+                h1 { font-size: 2rem; }
+                .stats { gap: 15px; }
+                .stat-item { min-width: 100px; padding: 10px; }
+                table.dataTable thead th,
+                table.dataTable tbody td { padding: 8px 6px; font-size: 0.9rem; }
+                .legend-grid { grid-template-columns: 1fr; }
+                .footer { margin-top: 20px; padding: 20px 15px; }
+            }
+        </style>
     </head>
     <body>
-    <h1>Awesome Computational Primatology</h1>
-    <table border="1" class="dataframe" id="table">
+        <div class="container">
+            <div class="header">
+                <h1>🐒 Awesome Computational Primatology</h1>
+                <p class="subtitle">A curated list of machine learning research for non-human primatology</p>
+                
+                <div class="stats">
+                    <div class="stat-item">
+                        <span class="stat-number" id="total-papers">58</span>
+                        <span class="stat-label">Papers</span>
+                    </div>
+                    <div class="stat-item">
+                        <span class="stat-number" id="years-span">14</span>
+                        <span class="stat-label">Years</span>
+                    </div>
+                    <div class="stat-item">
+                        <span class="stat-number" id="with-code">10</span>
+                        <span class="stat-label">With Code</span>
+                    </div>
+                    <div class="stat-item">
+                        <span class="stat-number" id="with-data">15</span>
+                        <span class="stat-label">With Data</span>
+                    </div>
+                </div>
+            </div>
+            
+            <div class="legend">
+                <h3>🏷️ Topic Legend</h3>
+                <div class="legend-grid">
+                    <div class="legend-item">
+                        <span class="legend-badge">PD</span>
+                        <span>Primate Detection</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">BPE</span>
+                        <span>Body Pose Estimation</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FD</span>
+                        <span>Face Detection</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FLE</span>
+                        <span>Facial Landmark Estimation</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FR</span>
+                        <span>Face Recognition</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">FAC</span>
+                        <span>Facial Action Coding</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">BR</span>
+                        <span>Behavior Recognition</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">AM</span>
+                        <span>Avatar/Mesh</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">SI</span>
+                        <span>Species Identification</span>
+                    </div>
+                    <div class="legend-item">
+                        <span class="legend-badge">RL</span>
+                        <span>Reinforcement Learning</span>
+                    </div>
+                </div>
+            </div>
+            
+            <div class="table-container">
+                <table border="1" class="dataframe display" id="table">
   <thead>
     <tr style="text-align: right;">
       <th>Year</th>
@@ -20,6 +388,15 @@
     </tr>
   </thead>
   <tbody>
+    <tr>
+      <td>2025</td>
+      <td><a href="https://www.biorxiv.org/content/10.1101/2025.08.12.669927v1">PrimateFace</a></td>
+      <td>FD, FLE, FR, FAC</td>
+      <td>Cross-species</td>
+      <td><a href="https://github.com/KordingLab/PrimateFace">Yes</a></td>
+      <td><a href="https://github.com/KordingLab/PrimateFace">Yes</a></td>
+      <td>200K+ images</td>
+    </tr>
     <tr>
       <td>2024</td>
       <td><a href="https://link.springer.com/article/10.1007/s11263-024-02003-z">PanAf20K</a></td>
@@ -56,6 +433,51 @@
       <td>Yes</td>
       <td>N/A</td>
     </tr>
+    <tr>
+      <td>2024</td>
+      <td><a href="https://www.biorxiv.org/content/10.1101/2024.02.27.582429v3.full.pdf">Cheng et al.</a></td>
+      <td>BR</td>
+      <td>Macaque</td>
+      <td>No</td>
+      <td>No</td>
+      <td>N/A</td>
+    </tr>
+    <tr>
+      <td>2024</td>
+      <td><a href="https://www.biorxiv.org/content/10.1101/2024.08.21.607881v1.full.pdf">PRIMAT (Vogg et al.)</a></td>
+      <td>2D BPE</td>
+      <td>Cross-species</td>
+      <td>No</td>
+      <td>No</td>
+      <td>N/A</td>
+    </tr>
+    <tr>
+      <td>2024</td>
+      <td><a href="https://www-nature-com.proxy.library.upenn.edu/articles/s41586-024-07084-x">Franch et al.</a></td>
+      <td>BR</td>
+      <td>Macaque</td>
+      <td>No</td>
+      <td>No</td>
+      <td>N/A</td>
+    </tr>
+    <tr>
+      <td>2024</td>
+      <td><a href="https://www.biorxiv.org/content/10.1101/2024.02.16.580693v1.full.pdf">Xing et al.</a></td>
+      <td>O</td>
+      <td>Marmoset</td>
+      <td>No</td>
+      <td>No</td>
+      <td>N/A</td>
+    </tr>
+    <tr>
+      <td>2024</td>
+      <td><a href="https://www.biorxiv.org/content/10.1101/2024.08.30.610159v1.full.pdf">Menegas et al.</a></td>
+      <td>BR</td>
+      <td>Marmoset</td>
+      <td>No</td>
+      <td>No</td>
+      <td>N/A</td>
+    </tr>
     <tr>
       <td>2023</td>
       <td><a href="https://inf-cv.uni-jena.de/wordpress/wp-content/uploads/2023/09/Talk-12-Maximilian-Schall.pdf">GorillaVision</a></td>
@@ -83,6 +505,15 @@
       <td>No</td>
       <td>N/A</td>
     </tr>
+    <tr>
+      <td>2023</td>
+      <td><a href="https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.14181">Schofield et al.</a></td>
+      <td>FD, FR</td>
+      <td>Chimp</td>
+      <td>No</td>
+      <td>No</td>
+      <td>N/A</td>
+    </tr>
     <tr>
       <td>2023</td>
       <td><a href="https://arxiv.org/pdf/2205.00275.pdf">Yang et al.</a></td>
@@ -479,83 +910,143 @@
       <td>No</td>
       <td>N/A</td>
     </tr>
-    <tr>
-      <td>Year</td>
-      <td>Paper</td>
-      <td>Topic</td>
-      <td>Animal</td>
-      <td>Model?</td>
-      <td>Data?</td>
-      <td>Image/Video Count</td>
-    </tr>
-    <tr>
-      <td>------</td>
-      <td>-----</td>
-      <td>-------</td>
-      <td>---------</td>
-      <td>------------</td>
-      <td>---------------</td>
-      <td>-------------</td>
-    </tr>
-    <tr>
-      <td>2023</td>
-      <td><a href="https://arxiv.org/pdf/2306.00576.pdf">MammalNet</a></td>
-      <td>BR</td>
-      <td>Cross-species</td>
-      <td><a href="https://github.com/Vision-CAIR/MammalNet">Yes</a></td>
-      <td><a href="https://mammal-net.github.io/">Yes</a></td>
-      <td>18k videos</td>
-    </tr>
-    <tr>
-      <td>2022</td>
-      <td><a href="https://arxiv.org/pdf/2204.08129.pdf">Animal Kingdom</a></td>
-      <td>2D BPE, BR</td>
-      <td>Cross-species</td>
-      <td>No</td>
-      <td><a href="https://github.com/sutdcv/Animal-Kingdom">Yes</a></td>
-      <td>N/A</td>
-    </tr>
-    <tr>
-      <td>2022</td>
-      <td><a href="https://arxiv.org/pdf/2206.05683.pdf">APT-36K</a></td>
-      <td>2D BPE</td>
-      <td>Cross-species</td>
-      <td>No</td>
-      <td><a href="https://github.com/pandorgan/APT-36K">Yes</a></td>
-      <td>< 36K</td>
-    </tr>
-    <tr>
-      <td>2021</td>
-      <td>AP10k</td>
-      <td>2D BPE</td>
-      <td>Cross-species</td>
-      <td><a href="https://github.com/open-mmlab/mmpose/tree/main/configs/animal_2d_keypoint/topdown_heatmap/ap10k">Yes</a></td>
-      <td>Yes</td>
-      <td>10,015 (675 primates)</td>
-    </tr>
-    <tr>
-      <td>2021</td>
-      <td><a href="https://www-nature-com.proxy.library.upenn.edu/articles/s41592-021-01226-z">LiftPose3D</a></td>
-      <td>3D BPE</td>
-      <td>Cross-species</td>
-      <td>Yes</td>
-      <td>No</td>
-      <td>N/A</td>
-    </tr>
-    <tr>
-      <td>2020</td>
-      <td>AnimalWeb</td>
-      <td>FD, FLE</td>
-      <td>Cross-species</td>
-      <td>No</td>
-      <td>Yes</td>
-      <td>21,921</td>
-    </tr>
   </tbody>
-</table><script>$(document).ready( function () {
-            $('#table').DataTable({
-                paging: false
+</table>
+            </div>
+            
+            <div class="footer">
+                <p>
+                    <strong>Maintained by:</strong> 
+                    <a href="http://kordinglab.com" target="_blank">🧠 Kording Lab</a> • 
+                    <a href="mailto:fparodi@upenn.edu">📧 Felipe Parodi</a> • 
+                    <a href="https://github.com/KordingLab/awesome-computational-primatology" target="_blank">⭐ Star on GitHub</a>
+                </p>
+                <p class="footer-note">
+                    Found a paper we missed? <a href="https://github.com/KordingLab/awesome-computational-primatology/blob/main/CONTRIBUTING.md">Contribute here!</a> 
+                    • Last updated: <span id="last-updated"></span>
+                </p>
+            </div>
+        </div>
+        
+        <script>
+        $(document).ready(function() {
+            var table = $('#table').DataTable({
+                paging: true,
+                pageLength: 25,
+                lengthMenu: [10, 25, 50, 100, -1],
+                searching: true,
+                ordering: true,
+                info: true,
+                responsive: true,
+                
+                dom: 'Bfrtip',
+                buttons: [
+                    {
+                        extend: 'searchPanes',
+                        config: {
+                            cascadePanes: true,
+                            viewTotal: true,
+                            columns: [0, 2, 3, 4, 5]
+                        }
+                    },
+                    'copy', 'csv', 'excel',
+                    {
+                        text: 'Clear Filters',
+                        action: function(e, dt, node, config) {
+                            dt.searchPanes.clearSelections();
+                        }
+                    }
+                ],
+                
+                searchPanes: {
+                    cascadePanes: true,
+                    viewTotal: true,
+                    columns: [0, 2, 3, 4, 5],
+                    initCollapsed: true
+                },
+                
+                columnDefs: [
+                    {
+                        targets: 0,
+                        type: 'num',
+                        className: 'year-cell',
+                        width: '80px'
+                    },
+                    {
+                        targets: 2,
+                        width: '150px',
+                        render: function(data, type, row) {
+                            if (type === 'display') {
+                                const topics = data.split(', ');
+                                return topics.map(topic => 
+                                    '<span class="topic-tag">' + topic.trim() + '</span>'
+                                ).join(' ');
+                            }
+                            return data;
+                        }
+                    },
+                    {
+                        targets: 3,
+                        width: '120px',
+                        render: function(data, type, row) {
+                            if (type === 'display') {
+                                let className = 'species-cross';
+                                const lowerData = data.toLowerCase();
+                                if (lowerData.includes('macaque')) className = 'species-macaque';
+                                else if (lowerData.includes('chimp')) className = 'species-chimp';
+                                else if (lowerData.includes('gorilla')) className = 'species-gorilla';
+                                else if (lowerData.includes('marmoset')) className = 'species-marmoset';
+                                
+                                return '<span class="' + className + '" style="padding: 4px 8px; border-radius: 4px; display: inline-block;">' + data + '</span>';
+                            }
+                            return data;
+                        }
+                    },
+                    {
+                        targets: [4, 5],
+                        width: '100px',
+                        render: function(data, type, row) {
+                            if (type === 'display') {
+                                let className = 'status-no';
+                                let icon = '<i class="fas fa-times"></i> ';
+                                
+                                if (data.includes('Yes')) {
+                                    className = 'status-yes';
+                                    icon = '<i class="fas fa-check"></i> ';
+                                } else if (data.includes('Code only') || data.includes('Some')) {
+                                    className = 'status-partial';
+                                    icon = '<i class="fas fa-code"></i> ';
+                                } else if (data.includes('Upon request')) {
+                                    className = 'status-request';
+                                    icon = '<i class="fas fa-envelope"></i> ';
+                                }
+                                
+                                return '<span class="status-badge ' + className + '">' + icon + data + '</span>';
+                            }
+                            return data;
+                        }
+                    }
+                ],
+                
+                order: [[0, 'desc']],
+                
+                language: {
+                    search: '<i class="fas fa-search"></i>',
+                    searchPlaceholder: 'Search papers...',
+                    lengthMenu: 'Show _MENU_ papers per page',
+                    info: 'Showing _START_ to _END_ of _TOTAL_ papers',
+                    processing: '<i class="fas fa-spinner fa-spin"></i> Loading...'
+                }
+            });
+            
+            // Set last updated date
+            const lastUpdated = new Date().toLocaleDateString('en-US', {
+                year: 'numeric',
+                month: 'long',
+                day: 'numeric'
             });
-        } );</script>
+            document.getElementById('last-updated').textContent = lastUpdated;
+        });
+        </script>
     </body>
-    </html>
+</html>

scripts/dev-preview.py

@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""
+Development preview script for contributors
+Run this to generate and serve the website locally
+"""
+import os
+import sys
+import subprocess
+import webbrowser
+from pathlib import Path
+
+def main():
+    print("🧠 Awesome Computational Primatology - Development Preview")
+    print("=" * 60)
+    
+    # Check if we're in the right directory
+    if not os.path.exists("README.md"):
+        print("❌ Error: README.md not found. Please run this from the repository root.")
+        sys.exit(1)
+    
+    # Check for required dependencies
+    try:
+        import pandas
+        print("✅ Dependencies OK")
+    except ImportError:
+        print("📦 Installing pandas...")
+        subprocess.run([sys.executable, "-m", "pip", "install", "pandas"])
+    
+    # Generate website
+    print("🏗️  Generating website...")
+    try:
+        # Run the website.py script directly
+        result = subprocess.run([
+            sys.executable, ".github/workflows/website.py"
+        ], capture_output=True, text=True)
+        
+        if result.returncode == 0:
+            print("✅ Website generated successfully")
+            if result.stdout:
+                print(result.stdout)
+        else:
+            print(f"❌ Error generating website:")
+            print(result.stderr)
+            sys.exit(1)
+    except Exception as e:
+        print(f"❌ Error running website generator: {e}")
+        sys.exit(1)
+    
+    # Start server
+    print("🚀 Starting development server...")
+    print("📱 Website will open at: http://localhost:8000")
+    print("👀 Press Ctrl+C to stop the server")
+    print("-" * 60)
+    
+    try:
+        # Open browser
+        webbrowser.open("http://localhost:8000")
+        
+        # Start server
+        subprocess.run([
+            sys.executable, "-m", "http.server", "8000"
+        ])
+    except KeyboardInterrupt:
+        print("\n👋 Development server stopped")
+
+if __name__ == "__main__":
+    main()

scripts/test-workflows.sh

@@ -0,0 +1,71 @@
+#!/bin/bash
+
+echo "🧪 Testing GitHub Actions workflows locally"
+echo "========================================"
+
+echo ""
+echo "1. Testing website generation..."
+python .github/workflows/website.py
+
+if [ $? -eq 0 ]; then
+    echo "✅ Website generation: PASSED"
+else
+    echo "❌ Website generation: FAILED"
+    exit 1
+fi
+
+echo ""
+echo "2. Testing link checker (if lychee is installed)..."
+if command -v lychee &> /dev/null; then
+    lychee --verbose --no-progress --exclude-mail README.md
+    if [ $? -eq 0 ]; then
+        echo "✅ Link check: PASSED"
+    else
+        echo "⚠️  Link check: SOME BROKEN LINKS FOUND"
+    fi
+else
+    echo "⚠️  lychee not installed. Install with: brew install lychee"
+fi
+
+echo ""
+echo "3. Checking table format..."
+python -c "
+import re
+with open('README.md', 'r') as f:
+    content = f.read()
+    
+# Count table rows in Projects section
+in_projects = False
+table_rows = []
+for line in content.split('\n'):
+    if line.strip() == '### Projects':
+        in_projects = True
+        continue
+    if in_projects and line.startswith('### ') and 'Projects' not in line:
+        break
+    if in_projects and len(re.findall(r'\|', line)) == 8:
+        table_rows.append(line)
+
+print(f'Found {len(table_rows)} table rows')
+if len(table_rows) > 2:
+    print('✅ Table format: PASSED')
+else:
+    print('❌ Table format: FAILED')
+    exit(1)
+"
+
+if [ $? -eq 0 ]; then
+    echo "✅ Table format: PASSED"
+else
+    echo "❌ Table format: FAILED"
+    exit 1
+fi
+
+echo ""
+echo "🎉 All tests passed! Your changes are ready for PR."
+echo ""
+echo "Next steps:"
+echo "1. Commit your changes: git add . && git commit -m 'Add new paper'"
+echo "2. Push to your fork: git push origin your-branch-name"
+echo "3. Create a pull request on GitHub"
+echo "4. Wait for automatic preview to be generated"