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
- tensorflow/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
4.6K stars
- quantopian/alphalens
Performance analysis of predictive (alpha) stock factors
4.5K stars
- pyqtgraph/pyqtgraph
Fast data visualization and GUI tools for scientific / engineering applications
4.4K stars
- pydata/xarray
N-D labeled arrays and datasets in Python
4.2K stars
- dpilger26/NumCpp
C++ implementation of the Python Numpy library
4K stars
- xtensor-stack/xtensor
C++ tensors with broadcasting and lazy computing
3.8K stars
- napari/napari
napari: a fast, interactive, multi-dimensional image viewer for python
2.8K stars
- pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
2.8K stars
- mars-project/mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
2.7K stars
- sergree/matchering
🎚️ Open Source Audio Matching and Mastering
2.7K stars
- neonwatty/machine-learning-refined
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
2.3K stars
- marcomusy/vedo
A python module for scientific analysis of 3D data based on VTK and Numpy
2.3K 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.
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
- dolma
Toolkit for pre-processing LLM training data.
Not published by PyPI - donkeycar
Self driving library for python.
Not published by PyPI - doppler-dsp
Practical, portable, performant digital signal processing.
Not published by PyPI - douyin-tiktok-scraper250605
A fast and asynchronous Douyin/TikTok data scraper and API
Not published by PyPI - dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
Not published by PyPI - dp-accounting
Tools for tracking differential privacy budgets
Not published by PyPI - drake
Model-based design and verification for robotics
Not published by PyPI - drms
Access HMI, AIA and MDI data from the Standford JSOC DRMS
Not published by PyPI - dscribe
A Python package for creating feature transformations in applications of machine learning to materials science.
Not published by PyPI - dspy-async
DSPy
Not published by PyPI - dsrag
State-of-the-art RAG pipeline from D-Star AI
Not published by PyPI - dtaidistance
Distance measures for time series (Dynamic Time Warping, fast C implementation)
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.