Xorq: A Framework for Declarative ML Pipelines in Python and SQL
By
mousematrix
Sesame, salt, and substance. A flagship bake.
Summary
Xorq is a framework designed to simplify the process of cataloging, sharing, and shipping multi-engine compute for ML pipelines. It provides a unified declarative API for Python and SQL engines like DuckDB, Snowflake, and DataFusion, addressing common pain points such as mixing pandas and SQL, wasted computation, and manual pipeline management. The framework emphasizes reusability and transparency with features like transparent caching.
Key quotes
· 3 pulled✨ Xorq is an opinionated framework for cataloging, sharing, and shipping multi-engine compute as diffable artifacts for your data in flight. ✨
Xorq helps teams build declarative, reusable ML pipelines across Python and SQL engines like DuckDB, Snowflake, and DataFusion.
ML pipelines are brittle, inconsistent, and hard to reuse. Xorq gives you: Unified declarative API, Transparent caching.
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