Technology · Library
NumPy
Library · Catalog tech@1
Numerical computing for Python.
- Categories
- 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 signalsNo 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.
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"
1.3K stars
- glumpy/glumpy
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
1.3K stars
- rohitrango/automatic-watermark-detection
Project for Digital Image Processing
1.3K stars
- xorbitsai/xorbits
Scalable Python DS & ML, in an API compatible & lightning fast way.
1.2K stars
- itamarst/eliot
Eliot: the logging system that tells you *why* it happened
1.2K stars
- pydata/bottleneck
Fast NumPy array functions written in C
1.2K stars
- ryfeus/lambda-packs
Precompiled packages for AWS Lambda
1.1K stars
- ARM-software/CMSIS-DSP
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
1.1K stars
- carefree0910/MachineLearning
Machine learning algorithms implemented by pure numpy
1.1K stars
- pykaldi/pykaldi
A Python wrapper for Kaldi
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.
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.
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.
Not published by PyPI - numpy
Fundamental package for array computing in Python
Not published by PyPI
Ecosystem 2,479packages that depend on it, most-adopted first
- inspect-evals
Collection of large language model evaluations
Not published by PyPI - intel-scipy
SciPy: Scientific Library for Python
Not published by PyPI - interpret-core
Fit interpretable models. Explain blackbox machine learning.
Not published by PyPI - invisible-watermark
The library for creating and decoding invisible image watermarks
Not published by PyPI - invokeai
A full-featured AI-assisted image generation environment designed for creatives and enthusiasts.
Not published by PyPI - ipfn
Iterative Proportional Fitting with N dimensions, for python
Not published by PyPI - ipycanvas
Interactive widgets library exposing the browser's Canvas API
Not published by PyPI - ipydatawidgets
A set of widgets to help facilitate reuse of large datasets across widgets
Not published by PyPI - ipympl
Matplotlib Jupyter Extension
Not published by PyPI - ir-datasets
provides a common interface to many IR ad-hoc ranking benchmarks, training datasets, etc.
Not published by PyPI - ir-sim
IR-SIM is an open-source, lightweight robot simulator based on Python, designed for robotics navigation, control, and learning. This simulator provides a simple and user-friendly framework for simulating robots, sensors, and environments, facilitating the development and testing of robotics algorithms with minimal hardware requirements.
Not published by PyPI - iree-base-compiler
IREE Python Compiler API
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.