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

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

• tensorflow/datasets

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

  Tagged numpyPython

  4.6K stars

• quantopian/alphalens

  Performance analysis of predictive (alpha) stock factors

  Tagged numpyJupyter Notebook

  4.5K stars

• pyqtgraph/pyqtgraph

  Fast data visualization and GUI tools for scientific / engineering applications

  Tagged numpyPython

  4.4K stars

• pydata/xarray

  N-D labeled arrays and datasets in Python

  Tagged numpyPython

  4.2K stars

• dpilger26/NumCpp

  C++ implementation of the Python Numpy library

  Tagged numpyC++

  4K stars

• xtensor-stack/xtensor

  C++ tensors with broadcasting and lazy computing

  Tagged numpyC++

  3.8K stars

• napari/napari

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

  Tagged numpyPython

  2.8K stars

• pyro-ppl/numpyro

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

  Tagged numpyPython

  2.8K stars

• 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 stars

• sergree/matchering

  🎚️ Open Source Audio Matching and Mastering

  Tagged numpyPython

  2.7K stars

• 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 stars

• marcomusy/vedo

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

  Tagged numpyPython

  2.3K 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

• gpflow

  Gaussian process methods in TensorFlow

  Depends on numpyPyPI

  —Not published by PyPI
• gptcache

  GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications.

  Depends on numpyPyPI

  —Not published by PyPI
• gptqmodel

  Production ready LLM model compression/quantization toolkit with hw accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.

  Depends on numpyPyPI

  —Not published by PyPI
• grad-cam

  Many Class Activation Map methods implemented in Pytorch for classification, segmentation, object detection and more

  Depends on numpyPyPI

  —Not published by PyPI
• gradio

  Python library for easily interacting with trained machine learning models

  Depends on numpyPyPI

  —Not published by PyPI
• grain

  Grain: A library for loading and transforming data for ML training.

  Depends on numpyPyPI

  —Not published by PyPI
• graph-retriever

  Retriever combining unstructured similarity and structured document traversal.

  Depends on numpyPyPI

  —Not published by PyPI
• graphdatascience

  A Python client for the Neo4j Graph Data Science (GDS) library

  Depends on numpyPyPI

  —Not published by PyPI
• graphein

  Protein & Interactomic Graph Construction for Machine Learning

  Depends on numpyPyPI

  —Not published by PyPI
• graphframes

  GraphFrames: DataFrame-based Graphs

  Depends on numpyPyPI

  —Not published by PyPI
• graphifyy

  AI coding assistant skill (Claude Code, CodeBuddy, Codex, OpenCode, Kilo Code, Cursor, Gemini CLI, Aider, OpenClaw, Factory Droid, Trae, Hermes, Kiro, Pi, Devin CLI, Google Antigravity) - turn any folder of code, docs, papers, images, or videos into a queryable knowledge graph

  Depends on numpyPyPI

  —Not published by PyPI
• graphistry

  A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration

  Depends on numpyPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.