4 tools
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
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
Union.ai (Pandera project, created by Niels Bantilan) · Data quality & validation
Lightweight Python library for declaring and validating DataFrame schemas for pandas, Polars, PySpark and other backends, with type-hint style models
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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