A fork of Scid with useful workflow enhancements
-
Updated
Jun 23, 2026 - Tcl
A fork of Scid with useful workflow enhancements
Open-source Chess Opening Intelligence Platform. Analyze openings, discover your playstyle, build repertoires, explore opening analytics, and understand the ideas behind every opening.
Chess opening analytics pipeline — monthly win-rate forecasting, engine-human delta scoring, and AI-generated insights across 500+ ECO openings from Lichess data.
Chess data analytics platform using MongoDB, Neo4j, and Spring Boot for large-scale data collection and analysis.
Containerisierte Data Engineering Pipeline (Batch) zur Analyse von Lichess-Schachdaten mit Python, Docker, Parquet und Streamlit.
Chess game analyzer that runs entirely in your browser
♟️ Personal chess analytics dashboard — track ELO progression, study your opening repertoire, analyze opponents, and plan training. Imports games from Lichess & PGN. Built with React 19, TailwindCSS & Recharts.
K-means clustering of chess games: feature engineering, optimal-K search, silhouette analysis, PCA visualization, and interpretable cluster archetypes. Full 10-step professional project plan included.
The Chess Multiverse Opening Intelligence Database is a high-fidelity, open-source dataset containing statistical performance metrics for 15,013 distinct chess opening lines.
High-performance analytical backend and data pipeline for Dice Chess. Ingests, normalizes, and analyzes 140k+ games using Scala 3, PostgreSQL, and the dicechess engine.
Open-source chess research dataset containing 994,269 engine-annotated inaccuracies, mistakes, and blunders from 140,662 broadcast games (Jan–May 2026).
Add a description, image, and links to the chess-analytics topic page so that developers can more easily learn about it.
To associate your repository with the chess-analytics topic, visit your repo's landing page and select "manage topics."