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
- vnpy40-mend
A framework for developing quant trading systems.
Not published by PyPI - vnstock-ezchart
A production-ready, AI-agent-friendly charting toolkit for Vietnamese financial markets — built on Matplotlib, Seaborn & mplfinance with a Soft Premium styling engine, branded logo injection, and 20+ publication-quality chart types out of the box
Not published by PyPI - vocos
Fourier-based neural vocoder for high-quality audio synthesis
Not published by PyPI - voice-mcp
Voice interaction capabilities for Model Context Protocol (MCP) servers
Not published by PyPI - voice-mode
VoiceMode - Voice interaction capabilities for AI assistants (formerly voice-mcp)
Not published by PyPI - vollib
Python library for calculating option prices, implied volatility and greeks.
Not published by PyPI - vollib-test
Python library for calculating option prices, implied volatility and greeks.
Not published by PyPI - voxel51-eta
Extensible Toolkit for Analytics
Not published by PyPI - voxelmorph
Unsupervised Learning for Image Registration.
Not published by PyPI - voxrun-ctranslate2
Fast inference engine for Transformer models
Not published by PyPI - voxtype
Local, streaming speech-to-text that types wherever your cursor is (macOS)
Not published by PyPI - Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.