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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networkx
Python library for creating, manipulating, and analyzing complex networks and graphs.
mathjs
Extensive math library for JavaScript and Node.js with big numbers, complex numbers, units, and matrices.
SymPy
Full-featured computer algebra system (CAS) written entirely in pure Python
PySpark
Python API for Apache Spark, the unified engine for large-scale distributed data processing
Apache DataFusion
The extensible, Arrow-native SQL and DataFrame query engine for building fast analytical systems in Rust.
glam
A simple, fast SIMD-accelerated 3D linear algebra library for Rust games and graphics, with no generics and no trait-fragmented API.
approx
Approximate floating point equality comparisons and assertions for Rust
marimo
A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.
Ibis
A portable Python dataframe library with a lazy expression API across 20+ backends.
nalgebra
General-purpose linear algebra library for the Rust ecosystem
chDB
In-process OLAP SQL engine powered by ClickHouse, embedded directly in Python
ConnectorX
The fastest, most memory-efficient way to load data from databases into Python and Rust DataFrames.
Brick\Math
Arbitrary-precision arithmetic for PHP with immutable big integer, decimal, and rational numbers.
python-igraph
Fast graph and complex-network analysis for Python.
libm
A pure-Rust, no_std implementation of the C math library for float functions.
percentile
Calculate one or many percentiles from an array of numbers, TypedArrays, or objects in a single pass.
