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akimbo

For when your data won't fit in your dataframe

Tests Documentation Status

Akimbo provides fast, vectorized processing of nested, ragged data in dataframes, using the .ak accessor.

Features

  • numpy-like API for slicing and accessing data deep in nested structures
  • apply any function, ufunc or aggregation at any level
  • use with different backends: pandas, polars (lazy and eager), dask-dataframe, pyspark, duckDB and cuDF exactly the same way (more backends may come in the future)
  • CPU and GPU processing and support for numba-jit
  • attach object-like behaviours to your record (sub)structures

See the quick start in the documentation for an introduction to akimbo.

Acknowledgements

Support for this work was provided by NSF grant OAC-2103945.

Work on this repository is supported in part by:

"Anaconda, Inc. - Advancing AI through open source."

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