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
- meshioplusplus
meshio++: I/O for many mesh formats (C++20 core + Python bindings)
Not published by PyPI - meshoptimizer
Python wrapper for meshoptimizer library
Not published by PyPI - meta-robyn-py
Python port of the Meta Robyn Marketing Mix Modeling (MMM) package
Not published by PyPI - metadrive-simulator
An open-ended driving simulator with infinite scenes
Not published by PyPI - metascreener
Open-source multi-LLM ensemble tool for systematic review workflows
Not published by PyPI - metatensor-core
Python bindings for metatensor
Not published by PyPI - metatrader5
API Connector to MetaTrader 5 Terminal
Not published by PyPI - metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning.
Not published by PyPI - metpy
Collection of tools for reading, visualizing and performing calculations with weather data.
Not published by PyPI - metric-learn
Python implementations of metric learning algorithms
Not published by PyPI - mgwr
multiscale geographically weighted regression
Not published by PyPI - microdf-python
Weighted pandas DataFrames and Series for survey microdata
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.