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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

  • numba/numba

    NumPy aware dynamic Python compiler using LLVM

    Tagged numpyPython

    11.2K

  • Yorko/mlcourse.ai

    Open Machine Learning Course

    Tagged numpyPython

    10.7K

  • arogozhnikov/einops

    Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

    Tagged numpyPython

    9.6K

  • iamseancheney/python_for_data_analysis_2nd_chinese_version

    《利用Python进行数据分析·第2版》

    Tagged numpy

    9K

  • ijl/orjson

    Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

    Tagged numpyPython

    8.2K

  • lanpa/tensorboardX

    tensorboard for pytorch (and chainer, mxnet, numpy, ...)

    Tagged numpyPython

    8K

  • HIPS/autograd

    Efficiently computes derivatives of NumPy code.

    Tagged numpyPython

    7.5K

  • chainer/chainer

    A flexible framework of neural networks for deep learning

    Tagged numpyPython

    5.9K

  • biolab/orange3

    🍊 :bar_chart: :bulb: Orange: Interactive data analysis

    Tagged numpyPython

    5.7K

  • bukosabino/ta

    Technical Analysis Library using Pandas and Numpy

    Tagged numpyJupyter Notebook

    5.2K

  • dusty-nv/jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

    Tagged numpyJupyter Notebook

    4.9K

  • MegEngine/MegEngine

    MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

    Tagged numpyC++

    4.8K

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.