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

• SALib/SALib

  Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

  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

• ezdxf

  A Python package to create/manipulate DXF drawings.

  Depends on numpyPyPI

  —Not published by PyPI
• f5-tts

  F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

  Depends on numpyPyPI

  —Not published by PyPI
• fabio

  FabIO is an I/O library for images produced by 2D X-ray detectors and written in Python

  Depends on numpyPyPI

  —Not published by PyPI
• face-alignment

  Detector 2D or 3D face landmarks from Python

  Depends on numpyPyPI

  —Not published by PyPI
• face-recognition

  Recognize faces from Python or from the command line

  Depends on numpyPyPI

  —Not published by PyPI
• facenet-pytorch

  Pretrained Pytorch face detection and recognition models

  Depends on numpyPyPI

  —Not published by PyPI
• facets-overview

  Python code to support the Facets Overview visualization

  Depends on numpyPyPI

  —Not published by PyPI
• facexlib

  Basic face library

  Depends on numpyPyPI

  —Not published by PyPI
• factor-analyzer

  A Factor Analysis tool written in Python

  Depends on numpyPyPI

  —Not published by PyPI
• fadoudou2

  Awesome OCR toolkits based on PaddlePaddle(8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices)

  Depends on numpyPyPI

  —Not published by PyPI
• fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Depends on numpyPyPI

  —Not published by PyPI
• fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit

  Depends on numpyPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.