Technology · Library

NumPy

Library · Catalog tech@1

Numerical computing for Python.

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 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.

    Tagged numpyPython

    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.

    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

  • totalsegmentator

    Robust segmentation of 117 classes in CT images.

    Depends on numpyPyPI

    Not published by PyPI
  • towhee

    Towhee is a framework that helps you encode your unstructured data into embeddings.

    Depends on numpyPyPI

    Not published by PyPI
  • towhee-models

    Towhee is a framework that helps you encode your unstructured data into embeddings.

    Depends on numpyPyPI

    Not published by PyPI
  • trackio

    A lightweight, local-first, and free experiment tracking library built on top of Hugging Face Datasets and Spaces.

    Depends on numpyPyPI

    Not published by PyPI
  • trackpy

    particle-tracking toolkit

    Depends on numpyPyPI

    Not published by PyPI
  • tract

    Python bindings for tract, a neural network inference engine

    Depends on numpyPyPI

    Not published by PyPI
  • tradememory-protocol

    Decision audit trail + persistent memory for AI trading agents. SHA-256 tamper detection, outcome-weighted recall, strategy evolution via MCP.

    Depends on numpyPyPI

    Not published by PyPI
  • trainstation

    Convenient training of linear models

    Depends on numpyPyPI

    Not published by PyPI
  • transformations

    Homogeneous Transformation Matrices and Quaternions

    Depends on numpyPyPI

    Not published by PyPI
  • transformers

    Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Depends on numpyPyPI

    Not published by PyPI
  • transformers-kt

    Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Depends on numpyPyPI

    Not published by PyPI
  • transformers-mcw

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Depends on numpyPyPI

    Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.