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

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Tagged numpyPython

  103.6K stars

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Tagged numpyJavaScript

  33.5K stars

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Tagged numpyPython

  29.4K stars

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

  Tagged numpyPython

  22K stars

• bbfamily/abu

  阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

  Tagged numpyPython

  18.8K stars

• exaloop/codon

  A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

  Tagged numpyPython

  16.8K stars

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  Tagged numpy

  15.4K stars

• dask/dask

  Parallel computing with task scheduling

  Tagged numpyPython

  13.9K stars

• tangyudi/Ai-Learn

  人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

  Tagged numpy

  13.4K stars

• MorvanZhou/tutorials

  机器学习相关教程

  Tagged numpyPython

  13.1K stars

• cupy/cupy

  NumPy & SciPy for GPU

  Tagged numpyPython

  12.4K stars

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Tagged numpyPython

  11.6K 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

• mlflow

  MLflow is an open source platform for the complete machine learning lifecycle

  Depends on numpyPyPI

  —Not published by PyPI
• mlflow-by-ckl

  MLflow: A Platform for ML Development and Productionization

  Depends on numpyPyPI

  —Not published by PyPI
• mlflow-by-johnsnowlabs

  MLflow is an open source platform for the complete machine learning lifecycle

  Depends on numpyPyPI

  —Not published by PyPI
• mlflow-pri

  MLflow is an open source platform for the complete machine learning lifecycle

  Depends on numpyPyPI

  —Not published by PyPI
• mljar-supervised

  Automated Machine Learning for Humans

  Depends on numpyPyPI

  —Not published by PyPI
• mlpack

  a flexible, fast machine learning library

  Depends on numpyPyPI

  —Not published by PyPI
• mlperf-logging

  MLPerf compliance tools.

  Depends on numpyPyPI

  —Not published by PyPI
• mlrun

  Tracking and config of machine learning runs

  Depends on numpyPyPI

  —Not published by PyPI
• mlserver

  MLServer

  Depends on numpyPyPI

  —Not published by PyPI
• mlsysim

  ML Systems Infrastructure Modeling Engine — first-principles analytical framework for ML workloads.

  Depends on numpyPyPI

  —Not published by PyPI
• mlx-audio

  MLX-Audio is a package for inference of text-to-speech (TTS) and speech-to-speech (STS) models locally on your Mac using MLX

  Depends on numpyPyPI

  —Not published by PyPI
• mlx-lm

  LLMs with MLX and the Hugging Face Hub

  Depends on numpyPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions NumPy yet.