6 tools
Apache Software Foundation · Data catalogs & formats
Language-independent columnar in-memory format and libraries that let DuckDB, Polars, pandas, Spark and databases exchange tables without copying
Dask developers (open-source community) · Distributed & parallel computing
Python library for parallel and distributed computing that scales pandas, NumPy and custom task graphs from a laptop to a cluster
GeoPandas developers (NumFOCUS affiliated) · GIS & mapping
Python library extending pandas with geometry columns, spatial operations, reprojection, spatial joins and file I/O for vector geodata
NumPy developers (NumFOCUS) · DataFrames & array computing
Foundational Python library for n-dimensional arrays, vectorized math, linear algebra, random numbers and the array API used by the scientific stack
pandas development team (NumFOCUS) · DataFrames & array computing
The standard Python DataFrame library for labeled tabular data, time series and I/O to CSV, Excel, SQL, Parquet and more
Polars (Ritchie Vink and contributors) · DataFrames & array computing
Rust-based DataFrame library with Python, Rust, Node and R bindings offering lazy query optimization, multithreading and Arrow-native memory
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