AI Agent Skills

Geospatial extensions for Polars

Polars-first data processing patterns for financial data. Use when writing efficient grouped, windowed, or lazy-evaluated data transformations.

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically w…

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas…

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Extremely fast quantitative factor cleaning and backtesting library, based on Polars