Get Started

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 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

Members 61repositories tagged with one of its aliases, most-starred first

  • ahmedfgad/GeneticAlgorithmPython

    Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

    Tagged numpyPython

    2.2K

  • rougier/from-python-to-numpy

    An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

    Tagged numpyPython

    2.2K

  • ashvardanian/NumKong

    SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

    Tagged numpyC

    1.9K

  • trekhleb/machine-learning-experiments

    🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

    Tagged numpyJupyter Notebook

    1.8K

  • CPJKU/madmom

    Python audio and music signal processing library

    Tagged numpyPython

    1.7K

  • tensorly/tensorly

    TensorLy: Tensor Learning in Python.

    Tagged numpyPython

    1.7K

  • fwilliams/point-cloud-utils

    An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

    Tagged numpyC++

    1.6K

  • JuliaPy/PyCall.jl

    Package to call Python functions from the Julia language

    Tagged numpyJulia

    1.5K

  • SciSharp/NumSharp

    High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

    Tagged numpyC#

    1.5K

  • PyO3/rust-numpy

    PyO3-based Rust bindings of the NumPy C-API

    Tagged numpyRust

    1.4K

  • fortran-lang/stdlib

    Fortran Standard Library

    Tagged numpyFortran

    1.4K

  • 3dg1luk43/ha_washdata

    Home Assistant integration for smart-plug appliance monitoring: detects cycles, matches programs, estimates time remaining. Supports washing machines, dryers, dishwashers and more.

    Tagged numpyPython

    1.3K

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

  • ultralytics-thop

    Ultralytics THOP package for fast computation of PyTorch model FLOPs and parameters.

    Depends on numpyPyPI

    Not published by PyPI
  • ultranest

    Fit and compare complex models reliably and rapidly. Advanced Nested Sampling.

    Depends on numpyPyPI

    Not published by PyPI
  • umap-learn

    Uniform Manifold Approximation and Projection

    Depends on numpyPyPI

    Not published by PyPI
  • umap-learn-no-tf

    Uniform Manifold Approximation and Projection

    Depends on numpyPyPI

    Not published by PyPI
  • unfoldnd

    N-dimensional unfold (im2col) and fold (col2im) in PyTorch

    Depends on numpyPyPI

    Not published by PyPI
  • uniface

    UniFace: A Unified Face Analysis Library for Python

    Depends on numpyPyPI

    Not published by PyPI
  • uniplot

    Lightweight plotting to the terminal. 4x resolution via Unicode.

    Depends on numpyPyPI

    Not published by PyPI
  • unpage-dspy

    DSPy

    Depends on numpyPyPI

    Not published by PyPI
  • unrealcv

    UnrealCV client for python. see http://unrealcv.org for more detail.

    Depends on numpyPyPI

    Not published by PyPI
  • unsloth

    2-5X faster training, reinforcement learning & finetuning

    Depends on numpyPyPI

    Not published by PyPI
  • unsloth-studio

    Unsloth Studio

    Depends on numpyPyPI

    Not published by PyPI
  • unsloth-zoo

    Utils for Unsloth

    Depends on numpyPyPI

    Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.