Technology · Library
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 signalsNo 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.
32.9K stars
Members 61repositories tagged with one of its aliases, most-starred first
- numba/numba
NumPy aware dynamic Python compiler using LLVM
11.2K stars
- Yorko/mlcourse.ai
Open Machine Learning Course
10.7K stars
- arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
9.6K stars
- iamseancheney/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
9K stars
- ijl/orjson
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
8.2K stars
- lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
8K stars
- HIPS/autograd
Efficiently computes derivatives of NumPy code.
7.5K stars
- chainer/chainer
A flexible framework of neural networks for deep learning
5.9K stars
- biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
5.7K stars
- bukosabino/ta
Technical Analysis Library using Pandas and Numpy
5.2K stars
- dusty-nv/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
4.9K stars
- 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
4.8K 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.
Not published by PyPI - numpy
Fundamental package for array computing in Python
Not published by PyPI
Ecosystem 2,479packages that depend on it, most-adopted first
- aeventkit
Event-driven data pipelines
Not published by PyPI - ag2studio
AG2 Studio
Not published by PyPI - agent-framework-redis
Redis integration for Microsoft Agent Framework.
Not published by PyPI - agentic-security
Agentic LLM vulnerability scanner
Not published by PyPI - agentscope
AgentScope: A Flexible yet Robust Multi-Agent Platform.
Not published by PyPI - agentsociety
LLM-based city environment agent building library
Not published by PyPI - agentsociety2
A modern, LLM-native agent simulation platform for social science research
Not published by PyPI - ai-agents
An Open-source Framework for Autonomous Language Agents
Not published by PyPI - ai-data-science-team
Build and run an AI-powered data science team.
Not published by PyPI - ai-dynamo-vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI - ai-edge-litert
LiteRT is for mobile and embedded devices.
Not published by PyPI - ai-edge-litert-nightly
LiteRT is for mobile and embedded devices.
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.