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
Kind
Sort:Used by Most Apps
NumPy
The fundamental N-dimensional array library powering Python's scientific computing stack.
PyTorch
A Python-first tensor library with GPU acceleration and a dynamic, define-by-run autograd engine for building and training deep neural networks.
scikit-learn
Simple and efficient tools for machine learning and data analysis in Python.
Datasets
One-line loading and fast, Arrow-backed processing for thousands of ML datasets
einops
A readable, framework-independent notation for tensor rearrangement, reduction, and repetition.
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.
TensorFlow Datasets
Ready-to-use, versioned public datasets exposed as tf.data.Dataset objects, with first-class support for TensorFlow, JAX, and NumPy pipelines.
SimSIMD
SIMD-accelerated distance, dot-product, and similarity kernels for high-dimensional vectors.
rust-numpy
PyO3-based Rust bindings to the NumPy C-API for sharing array data between Rust and Python.
linearmodels
Panel, instrumental-variable, system, and asset-pricing regression models that extend statsmodels for econometrics in Python.
tifffile
A comprehensive Python library for reading and writing TIFF, BigTIFF, OME-TIFF, and dozens of proprietary microscopy image formats as NumPy or Zarr arrays.
DataComPy
Compare Pandas, Polars, Spark, and Snowpark DataFrames with human-readable difference reports.
cython-blis
Fast BLAS-style matrix multiplication for Python, bundled as a self-contained C extension with no system BLAS dependency.
ndarray-stats
Statistical routines for ndarray's ArrayBase — quantiles, correlation, entropy, and histograms as native extension traits.
