NumPy

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Official repository stars

Collecting

Star growth needs repository snapshots 30 days apart.32,900 stars now

Member repository stars

Collecting

Star growth needs repository snapshots 30 days apart.0 new members in 30 days

Package adoption

—Not published by its registries

Its packages’ registries publish no adoption figure, so there is nothing to grow.

Open models

—No official models

No official model on Hugging Face, so this signal does not apply.

News

Collecting

News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of NumPy’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of NumPy’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days

0published events that mention it

Events · 30 days

0published events that mention it

Previous 30 days

0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

• numpy/numpy

  The fundamental package for scientific computing with Python.

  Official repositoryPython

  32.9K stars

Members 61repositories tagged with one of its aliases, most-starred first

• tensorflow/datasets

  TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

  Tagged numpyPython

  4.6K stars

• quantopian/alphalens

  Performance analysis of predictive (alpha) stock factors

  Tagged numpyJupyter Notebook

  4.5K stars

• pyqtgraph/pyqtgraph

  Fast data visualization and GUI tools for scientific / engineering applications

  Tagged numpyPython

  4.4K stars

• pydata/xarray

  N-D labeled arrays and datasets in Python

  Tagged numpyPython

  4.2K stars

• dpilger26/NumCpp

  C++ implementation of the Python Numpy library

  Tagged numpyC++

  4K stars

• xtensor-stack/xtensor

  C++ tensors with broadcasting and lazy computing

  Tagged numpyC++

  3.8K stars

• napari/napari

  napari: a fast, interactive, multi-dimensional image viewer for python

  Tagged numpyPython

  2.8K stars

• pyro-ppl/numpyro

  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

  Tagged numpyPython

  2.8K stars

• mars-project/mars

  Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

  Tagged numpyPython

  2.7K stars

• sergree/matchering

  🎚️ Open Source Audio Matching and Mastering

  Tagged numpyPython

  2.7K stars

• neonwatty/machine-learning-refined

  Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

  Tagged numpyPython

  2.3K stars

• marcomusy/vedo

  A python module for scientific analysis of 3D data based on VTK and Numpy

  Tagged numpyPython

  2.3K stars

Packages

“Is” packages are NumPy itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 2the technology itself, most-adopted first

• intel-numpy

  NumPy is the fundamental package for array computing with Python.

  Published from numpy/numpyPyPI

  —Not published by PyPI
• numpy

  Fundamental package for array computing in Python

  Listed in the catalogPyPI

  —Not published by PyPI

Ecosystem 2,479packages that depend on it, most-adopted first

• pymammotion

  Depends on numpyPyPI

  —Not published by PyPI
• pymannkendall

  A python package for non-parametric Mann-Kendall family of trend tests.

  Depends on numpyPyPI

  —Not published by PyPI
• pymatching

  A package for decoding quantum error correcting codes using minimum-weight perfect matching.

  Depends on numpyPyPI

  —Not published by PyPI
• pymatgen-analysis-defects

  Pymatgen extension for defects analysis

  Depends on numpyPyPI

  —Not published by PyPI
• pymatgen-core

  Python Materials Genomics is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project (https://materialsproject.org). This repository is for pymatgen-core, which implements the core data structures and algorithms.

  Depends on numpyPyPI

  —Not published by PyPI
• pymatgen-io-validation

  A comprehensive I/O validator for electronic structure calculations

  Depends on numpyPyPI

  —Not published by PyPI
• pymatreader

  Convenient reader for Matlab mat files

  Depends on numpyPyPI

  —Not published by PyPI
• pymatting

  Python package for alpha matting.

  Depends on numpyPyPI

  —Not published by PyPI
• pymaxflow

  A mincut/maxflow package for Python

  Depends on numpyPyPI

  —Not published by PyPI
• pymbar

  Python implementation of the multistate Bennett acceptance ratio (MBAR) method

  Depends on numpyPyPI

  —Not published by PyPI
• pymc

  Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor

  Depends on numpyPyPI

  —Not published by PyPI
• pymc-marketing

  Marketing Statistical Models in PyMC

  Depends on numpyPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.