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NumPy — foundational N-dimensional arrays and numerical computing for Python

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Stars
32,733
Primary language
Python
License
Not determined
Repository last updated
Sep 13, 2026

Overview

NumPy is the foundational package for scientific computing with Python. It provides N-dimensional arrays, broadcasting, linear algebra, Fourier transforms, random-number capabilities, and integration with C, C++, and Fortran code.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Build efficient array operations around ndarray

Its N-dimensional array object and broadcasting functions apply operations across data with equal or compatible shapes. Linear algebra, Fourier transforms, random numbers, and native-code integration make NumPy a common foundation for Python data and scientific-computing ecosystems.

Sources: [1]

For libraries, analysis, and research code based on numerical arrays

It fits matrices, signals, simulations, ML preprocessing, and other workloads that can represent numerical data in homogeneous arrays. Benchmark shapes, dtypes, memory layout, temporary arrays created by broadcasting, and compatibility with downstream libraries.

Sources: [1]

Account for low-level data representation and binary compatibility

NumPy is an array and numerical-kernel foundation rather than a high-level table tool or model by itself. Shape and dtype mistakes directly affect results and memory use, so tests matter. Select a release compatible with Python and the target platform, and account for native build tooling when compiling from source. The official LICENSE states a three-clause BSD-style license.

Sources: [1][2]

Official sources

  1. [1]NumPy README(2026-09-13)
  2. [2]NumPy license(2026-09-13)
Supplemental curator note

Selected for combining a compact Num-plus-Py brand with ndarray, shape, and dtype vocabulary across an enormous dependency ecosystem.

Growth

Growth trends · Last 30 days

32,733 Stars

Trend data is still being collected.

Development activity

Last 90 days · weekly

Commits (last 30 days)
257
Open PRs
293

Development activity is still being collected.

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GitHub data

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GitHub Topics

  • numpy
  • python
Stars
32,733
Forks
12,776
Watchers
606
Open issues
1,999
Primary language
Python
License
Not determined
Repository last updated
Sep 13, 2026
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