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
- SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
1K 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
- microsoft-aurora
Implementation of the Aurora model
Not published by PyPI - milvus-lite
Lightweight version of Milvus for local development and testing
Not published by PyPI - minari
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities.
Not published by PyPI - mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Not published by PyPI - mindspore-dev
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Not published by PyPI - mineru
A practical document parsing tool for converting PDF, OFD, EPUB, HTML, images, CSV, RTF, OOXML, and OpenDocument files into Markdown and JSON
Not published by PyPI - mineru-next-dev
A practical document parsing tool for converting PDF, images, DOCX, PPTX, and XLSX into Markdown and JSON
Not published by PyPI - minigrid
Minimalistic gridworld reinforcement learning environments.
Not published by PyPI - minisbd
Free and open source library for fast sentence boundary detection
Not published by PyPI - mir-eval
Common metrics for common audio/music processing tasks.
Not published by PyPI - mirage-project
Mirage: A Multi-Level Superoptimizer for Tensor Algebra
Not published by PyPI - mirobody
Self-hosted AI health data engine: lab reports, wearables and genetics in one standardized record, with answers that cite their sources.
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.