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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

  • tensorflow/datasets

    TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

    Tagged numpyPython

    4.6K

  • quantopian/alphalens

    Performance analysis of predictive (alpha) stock factors

    Tagged numpyJupyter Notebook

    4.5K

  • pyqtgraph/pyqtgraph

    Fast data visualization and GUI tools for scientific / engineering applications

    Tagged numpyPython

    4.4K

  • pydata/xarray

    N-D labeled arrays and datasets in Python

    Tagged numpyPython

    4.2K

  • dpilger26/NumCpp

    C++ implementation of the Python Numpy library

    Tagged numpyC++

    4K

  • xtensor-stack/xtensor

    C++ tensors with broadcasting and lazy computing

    Tagged numpyC++

    3.8K

  • napari/napari

    napari: a fast, interactive, multi-dimensional image viewer for python

    Tagged numpyPython

    2.8K

  • pyro-ppl/numpyro

    Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

    Tagged numpyPython

    2.8K

  • mars-project/mars

    Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

    Tagged numpyPython

    2.7K

  • sergree/matchering

    🎚️ Open Source Audio Matching and Mastering

    Tagged numpyPython

    2.7K

  • neonwatty/machine-learning-refined

    Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

    Tagged numpyPython

    2.3K

  • marcomusy/vedo

    A python module for scientific analysis of 3D data based on VTK and Numpy

    Tagged numpyPython

    2.3K

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

  • numbagg

    Fast N-dimensional aggregation functions with Numba

    Depends on numpyPyPI

    Not published by PyPI
  • numcodecs

    A Python package providing buffer compression and transformation codecs for use in data storage and communication applications.

    Depends on numpyPyPI

    Not published by PyPI
  • numdifftools

    Solves automatic numerical differentiation problems in one or more variables.

    Depends on numpyPyPI

    Not published by PyPI
  • numexpr

    Fast numerical expression evaluator for NumPy

    Depends on numpyPyPI

    Not published by PyPI
  • numpy-financial

    Simple financial functions

    Depends on numpyPyPI

    Not published by PyPI
  • numpy-groupies

    Optimised tools for group-indexing operations: aggregated sum and more.

    Depends on numpyPyPI

    Not published by PyPI
  • numpy-minmax

    A fast python library for finding both min and max value in a NumPy array

    Depends on numpyPyPI

    Not published by PyPI
  • numpy-quaternion

    Add a quaternion dtype to NumPy

    Depends on numpyPyPI

    Not published by PyPI
  • numpy-rms

    A fast python library for calculating the RMS of a NumPy array

    Depends on numpyPyPI

    Not published by PyPI
  • numpy-stl

    Library to make reading, writing and modifying both binary and ascii STL files easy.

    Depends on numpyPyPI

    Not published by PyPI
  • numpy-typing-compat

    Static typing compatibility layer for older versions of NumPy

    Depends on numpyPyPI

    Not published by PyPI
  • numpydantic

    Type and shape validation and serialization for arbitrary array types in pydantic models

    Depends on numpyPyPI

    Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.