Technology · Library

NumPy

Library · Catalog tech@1

Numerical computing for Python.

Matched as
  • 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

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. NumPy has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

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

  • pierrepault/probabilistic_robotics

    solution of exercises of the book "probabilistic robotics"

    Tagged numpyC++

    1.3K stars

  • glumpy/glumpy

    Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

    Tagged numpyPython

    1.3K stars

  • rohitrango/automatic-watermark-detection

    Project for Digital Image Processing

    Tagged numpyJupyter Notebook

    1.3K stars

  • xorbitsai/xorbits

    Scalable Python DS & ML, in an API compatible & lightning fast way.

    Tagged numpyPython

    1.2K stars

  • itamarst/eliot

    Eliot: the logging system that tells you *why* it happened

    Tagged numpyPython

    1.2K stars

  • pydata/bottleneck

    Fast NumPy array functions written in C

    Tagged numpyPython

    1.2K stars

  • ryfeus/lambda-packs

    Precompiled packages for AWS Lambda

    Tagged numpyPython

    1.1K stars

  • ARM-software/CMSIS-DSP

    CMSIS-DSP embedded compute library for Cortex-M and Cortex-A

    Tagged numpyC

    1.1K stars

  • carefree0910/MachineLearning

    Machine learning algorithms implemented by pure numpy

    Tagged numpyJupyter Notebook

    1.1K stars

  • pykaldi/pykaldi

    A Python wrapper for Kaldi

    Tagged numpyPython

    1K stars

  • BabitMF/bmf

    Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

    Tagged numpyC++

    1K stars

  • K3D-tools/K3D-jupyter

    WebGL 3D plotting for Jupyter: meshes, isosurfaces, volumes, voxels and point clouds from NumPy arrays, with a path-traced cinematic renderer.

    Tagged numpyPython

    1K 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

  • bartbroere-streamlit

    A faster way to build and share data apps

    Depends on numpyPyPI

    Not published by PyPI
  • basemap

    Plot data on map projections with matplotlib

    Depends on numpyPyPI

    Not published by PyPI
  • basic-pitch

    Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection.

    Depends on numpyPyPI

    Not published by PyPI
  • basicts

    A Fair and Scalable Time Series Analysis Toolkit and benchmark.

    Depends on numpyPyPI

    Not published by PyPI
  • batchgenerators

    Data augmentation toolkit

    Depends on numpyPyPI

    Not published by PyPI
  • batchgeneratorsv2

    Batchgenerators but better

    Depends on numpyPyPI

    Not published by PyPI
  • bayesian-optimization

    Bayesian Optimization package

    Depends on numpyPyPI

    Not published by PyPI
  • bcnc

    Swiss army knife for all your CNC/g-code needs

    Depends on numpyPyPI

    Not published by PyPI
  • bddl

    Depends on numpyPyPI

    Not published by PyPI
  • beat-this

    Beat This! beat tracker

    Depends on numpyPyPI

    Not published by PyPI
  • bed-reader

    Depends on numpyPyPI

    Not published by PyPI
  • beets

    music tagger and library organizer

    Depends on numpyPyPI

    Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.