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

• 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

• mlx-tune

  MLX-powered LLM/VLM/TTS/STT/Embedding/OCR/JEPA fine-tuning for Apple Silicon - Unsloth-compatible API for Mac

  Depends on numpyPyPI

  —Not published by PyPI
• mlx-vlm

  MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) and Omni Models (VLMs with audio and video support) on your Mac using MLX.

  Depends on numpyPyPI

  —Not published by PyPI
• mlx-vlm-nell

  MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) and Omni Models (VLMs with audio and video support) on your Mac using MLX.

  Depends on numpyPyPI

  —Not published by PyPI
• mlx-whisper

  OpenAI Whisper on Apple silicon with MLX and the Hugging Face Hub

  Depends on numpyPyPI

  —Not published by PyPI
• mlxtend

  Machine Learning Library Extensions

  Depends on numpyPyPI

  —Not published by PyPI
• mmaction2

  OpenMMLab Video Understanding Toolbox and Benchmark

  Depends on numpyPyPI

  —Not published by PyPI
• mmdeploy

  OpenMMLab Model Deployment

  Depends on numpyPyPI

  —Not published by PyPI
• mmdeploy-vitrox

  OpenMMLab Model Deployment

  Depends on numpyPyPI

  —Not published by PyPI
• mmdet

  OpenMMLab Detection Toolbox and Benchmark

  Depends on numpyPyPI

  —Not published by PyPI
• mmdet-open

  OpenMMLab Detection Toolbox and Benchmark

  Depends on numpyPyPI

  —Not published by PyPI
• mmdet3d

  OpenMMLab's next-generation platformfor general 3D object detection.

  Depends on numpyPyPI

  —Not published by PyPI
• mmengine

  Engine of OpenMMLab projects

  Depends on numpyPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.