SoccerData is a toolset for scraping soccer data from various websites like ESPN and FBref, providing users with structured Pandas DataFrames. It allows for easy access to game schedules and player statistics, while emphasizing the importance of responsible usage and compliance with website terms. Users are encouraged to contribute to the project and report any issues due to potential changes in the source websites.

chDB transforms ClickHouse into a user-friendly Python library for seamless DataFrame operations, eliminating serialization overhead and enabling fast SQL queries directly on Pandas DataFrames. The latest version achieves significant performance improvements, making it 87 times faster than its predecessor by implementing zero-copy data handling and optimized processing.