Data Science & Numerical Computing Packages
Numerical computing, dataframes, and scientific-analysis libraries used across research and production data pipelines (NumPy, pandas, SciPy).
Packages in Data Science & Numerical Computing
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scikit-learn
Simple and efficient tools for machine learning and data analysis in Python.
d3-array
Array manipulation, ordering, searching, and statistical summarization for JavaScript, built to power D3's data-visualization pipeline.
statsmodels
Statistical modeling and econometrics in Python, with rigorous estimation and inference.
HdrHistogram (Rust)
A native Rust port of HdrHistogram for fast, high-dynamic-range recording and analysis of latency and value distributions.
linearmodels
Panel, instrumental-variable, system, and asset-pricing regression models that extend statsmodels for econometrics in Python.
ndarray-stats
Statistical routines for ndarray's ArrayBase — quantiles, correlation, entropy, and histograms as native extension traits.
