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
- SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
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
- cmaes
Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python 3.
Not published by PyPI - cmap
Scientific colormaps for python, without dependencies
Not published by PyPI - cmcrameri
Perceptually uniform colormaps by Fabio Crameri
Not published by PyPI - cmdstanpy
Python interface to CmdStan
Not published by PyPI - cmeel-boost
cmeel distribution for boost, which provides free peer-reviewed portable C++ source libraries.
Not published by PyPI - cmocean
Colormaps for Oceanography
Not published by PyPI - cmq-test
vLLM Ascend backend plugin
Not published by PyPI - cmsisdsp
CMSIS-DSP Python API
Not published by PyPI - cmweather
A library of useful colormaps when visualizing weather and climate data, with numerous color vision deficiency friendly options
Not published by PyPI - coacd
Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
Not published by PyPI - cobra
COBRApy is a package for constraint-based modeling of metabolic networks.
Not published by PyPI - cocoindex
With CocoIndex, users declare the transformation, CocoIndex creates & maintains an index, and keeps the derived index up to date based on source update, with minimal computation and changes.
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.