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

• 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 stars

• rougier/from-python-to-numpy

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

  Tagged numpyPython

  2.2K stars

• 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 stars

• trekhleb/machine-learning-experiments

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

  Tagged numpyJupyter Notebook

  1.8K stars

• CPJKU/madmom

  Python audio and music signal processing library

  Tagged numpyPython

  1.7K stars

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Tagged numpyPython

  1.7K stars

• fwilliams/point-cloud-utils

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

  Tagged numpyC++

  1.6K stars

• JuliaPy/PyCall.jl

  Package to call Python functions from the Julia language

  Tagged numpyJulia

  1.5K stars

• SciSharp/NumSharp

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

  Tagged numpyC#

  1.5K stars

• PyO3/rust-numpy

  PyO3-based Rust bindings of the NumPy C-API

  Tagged numpyRust

  1.4K stars

• fortran-lang/stdlib

  Fortran Standard Library

  Tagged numpyFortran

  1.4K stars

• 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 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

• deap

  Distributed Evolutionary Algorithms in Python

  Depends on numpyPyPI

  —Not published by PyPI
• decider-ai

  One-pass typed decisions with calibrated probabilities: decider-2b, decider-35b-a3b and the training recipe

  Depends on numpyPyPI

  —Not published by PyPI
• decord

  Decord Video Loader

  Depends on numpyPyPI

  —Not published by PyPI
• decord2

  Decord2 is a high-performance, efficient video decoding and loading library for deep learning research, featuring smart shuffling, random frame access, GPU acceleration, and seamless integration with popular frameworks.

  Depends on numpyPyPI

  —Not published by PyPI
• deda

  tracking Dots Extraction, Decoding and Anonymisation toolkit

  Depends on numpyPyPI

  —Not published by PyPI
• dedupe

  A python library for accurate and scaleable data deduplication and entity-resolution

  Depends on numpyPyPI

  —Not published by PyPI
• deepchecks

  Package for validating your machine learning model and data

  Depends on numpyPyPI

  —Not published by PyPI
• deepchem

  Deep learning models for drug discovery, quantum chemistry, and the life sciences.

  Depends on numpyPyPI

  —Not published by PyPI
• deepdanbooru

  DeepDanbooru is AI based multi-label girl image classification system, implemented by using TensorFlow.

  Depends on numpyPyPI

  —Not published by PyPI
• deepdow

  Portfolio optimization with deep learning

  Depends on numpyPyPI

  —Not published by PyPI
• deepecho

  Create sequential synthetic data of mixed types using a GAN.

  Depends on numpyPyPI

  —Not published by PyPI
• deepface

  A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python

  Depends on numpyPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.