Data science
Dataframes, numerical computing, statistics and plotting. 46 packages across 6 ecosystems.
PynumpyFundamental package for array computing in PythonBSD-3-ClausePypandasPowerful data structures for data analysis, time series, and statisticsBSD-3-ClausePypyarrowPython library for Apache ArrowApache-2.0PyscipyFundamental algorithms for scientific computing in PythonBSD-3-ClausePytqdmFast, Extensible Progress MeterMPL-2.0PynetworkxPython package for creating and manipulating graphs and networksBSD-3-ClausePyscikit-learnA set of python modules for machine learning and data miningBSD-3-ClausePymatplotlibPython plotting packagePSF-2.0PysympyComputer algebra system (CAS) in PythonBSD-3-ClausePympmathPython library for arbitrary-precision floating-point arithmeticBSD-3-ClausePyipythonIPython: Productive Interactive ComputingBSD-3-ClausePyipykernelIPython Kernel for JupyterBSD-3-ClauseRsnum-traitsNumeric traits for generic mathematicsMITPydatasetsHuggingFace community-driven open-source library of datasetsApache-2.0nchart.jsSimple HTML5 charts using the canvas element.MITRsnum-bigintBig integer implementation for RustMITPyplotlyAn open-source interactive data visualization library for PythonMITnwebpack-bundle-analyzerWebpack plugin and CLI utility that represents bundle content as convenient interactive zoomable treemapMITPydaskParallel PyData with Task SchedulingBSD-3-ClausePystatsmodelsStatistical computations and models for PythonBSD-3-Clause