Chess opening analytics pipeline — monthly win-rate forecasting, engine-human delta scoring, and AI-generated insights across 500+ ECO openings from Lichess data.
-
Updated
May 15, 2026 - Python
#
chess-analytics
Here are 2 public repositories matching this topic...
Containerisierte Data Engineering Pipeline (Batch) zur Analyse von Lichess-Schachdaten mit Python, Docker, Parquet und Streamlit.
python docker microservices data-engineering parquet lichess batch-processing idempotency etl-pipeline streamlit medallion-architecture chess-analytics
-
Updated
Feb 9, 2026 - Python
Improve this page
Add a description, image, and links to the chess-analytics topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the chess-analytics topic, visit your repo's landing page and select "manage topics."