Chess Analyzer Pro

🌐 Official Website: chess-analyzer-ut.vercel.app
Visit the official site for detailed documentation, latest updates, and to report bugs or request features.

Chess Analyzer Pro is a powerful, full-stack Python desktop application designed to bring professional-grade chess analysis to your local machine. Inspired by platforms like Chess.com, it combines the robust analysis capabilities of Stockfish with a sleek, responsive PyQt6 interface.

📸 Screenshots

Analysis View	Stats Tab	Settings Tab	History Tab

🚀 Features

Core Analysis

• Stockfish Integration: Leverages the world's strongest chess engine for deep, move-by-move analysis.

• Move Classification: Automatically classifies every move (Brilliant, Great, Best, Excellent, Good, Inaccuracy, Mistake, Blunder, Miss).

• Win Probability: Calculates and displays win probability swings for every move.

• Opening Explorer: Identifies openings and variations using a built-in book and online APIs.

• Ending Analysis: Charts game outcomes by type (Checkmate, Time, Resignation).

User Interface

• Interactive Board: Fully functional chessboard with drag-and-drop support and visual move indicators.
• Evaluation Graph: Dynamic graph visualizing the game's evaluation flow.
• Game List: Easy navigation between multiple games in a PGN.
• Move List: Detailed move history with classification icons and evaluation scores.

Import & Export

• PGN Support: Robust parsing for single and multi-game PGN files.
• Direct Text Input: Paste PGN text directly from your clipboard for quick analysis.
• Web Imports:
  • Chess.com: Import from user profiles or specific game URLs.
  • Lichess: Import from usernames or specific game URLs.
• Data Backup: Export your entire game history to CSV for backup or analysis in other tools, and import it back seamlessly.

Audio & Visuals

• Splash Screen: Beautiful startup screen for a polished launch experience.
• Sound Effects: Immersive audio feedback for moves, captures, checks, castles, and game completion.
• Board Themes: Multiple board color themes to customize your chessboard appearance.
• Piece Themes: Choose from different piece sets to personalize your playing experience.
• Dark Mode: Modern dark theme for reduced eye strain during long analysis sessions.

💻 Tech Stack

• Core: Python 3.10+
• GUI: PyQt6 (Modern, responsive desktop interface)
• Engine: Stockfish (Via UCI protocol for world-class analysis)
• Database: SQLite references locally (analysis_cache.db) to cache analysis results, ensuring instant loading for previously analyzed games.
• Config: Local config.json for persistent user settings.
• Integrations:
  • Groq AI: AI-powered natural language game summaries with customizable models.
  • Lichess & Chess.com: Direct game import APIs.

🔒 Data Privacy & Local Storage

We prioritize your privacy. Chess Analyzer Pro is a "Local-First" application.

• Local Database: All analysis data and game history are stored in a local SQLite database (analysis_cache.db).
• No Cloud Uploads: Your games and moves are never uploaded to our servers. Analysis happens entirely on your machine using the bundled Stockfish engine.
• Secure Config: API keys (Groq, Lichess) are stored locally in config.json and are never shared.

🛠️ Installation

Prerequisites

• Python 3.8 or higher
• Stockfish Engine

Steps

1. Clone the Repository

   git clone https://github.com/yourusername/chess-analyzer-pro.git
   cd chess-analyzer-pro

2. Create a Virtual Environment (Recommended) Using uv (faster and more reliable):

   # Install uv if you haven't already
   pip install uv
   
   # Create virtual environment
   uv venv .venv
   
   # Activate
   # Windows
   .venv\Scripts\activate
   # macOS/Linux
   source .venv/bin/activate

3. Install Dependencies

   uv pip install -r requirements.txt

4. Setup Stockfish

   • Download the Stockfish engine for your OS.
   • Extract the executable to a known location (e.g., inside a stockfish/ folder in the project root).

🎮 Usage

1. Run the Application

   uv main.py

2. Configure Engine

   • Go to Settings > Configure Engine....
   • Select your Stockfish executable path.

3. Load a Game

   • File > Open PGN...: Load a local .pgn file.

   • File > Load from Chess.com User...: Fetch recent games for a specific user.

   • File > Load from Lichess User...: Fetch recent games for a Lichess user.

   • File > Load from Chess.com URL...: Analyze a specific game URL.

4. Analyze

   • Click Analysis > Analyze Game to start the engine.
   • Watch the progress bar as the engine evaluates each move.
   • Once complete, explore the move list and graph!

🧪 Testing

Run the test suite to ensure everything is working correctly:

python -m pytest tests/

🤝 Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a Pull Request.

🔮 Roadmap (Version 2.0)

• PDF Export: Generate professional PDF reports.
• Coach Mode: AI-powered natural language explanations.
• Opening Repertoire Builder: Tools to build and practice openings.
• Endgame Tablebases: Integration with Syzygy tablebases.
• Multi-Engine Support: Compare analysis from different engines.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Note: The chess piece graphics in assets/pieces/ are a separate work licensed under CC BY-SA 3.0 (see the Third-Party Assets section below).

Third-Party Assets

The chess piece graphics shipped in assets/pieces/ come from the Cburnett SVG chess set by Colin M.L. Burnett.

• Source: Wikimedia Commons — SVG chess pieces
• License: CC BY-SA 3.0
• Per-file notice: see assets/pieces/THIRD-PARTY-README.md

The SVGs are kept in a separate directory so they can be replaced or removed without touching the MIT-licensed source code.

Acknowledgements

• Stockfish for the powerful chess engine.
• Python-Chess for the chess library.
• PyQt6 for the GUI framework.
• Chess piece graphics by Colin M.L. Burnett (Cburnett), distributed via Wikimedia Commons and used in the Lichess project (CC BY-SA 3.0).