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
- pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
103.6K stars
- lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
33.5K stars
- donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
29.4K stars
- huggingface/datasets
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
22K stars
- bbfamily/abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
18.8K stars
- exaloop/codon
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
16.8K stars
- kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
15.4K stars
- dask/dask
Parallel computing with task scheduling
13.9K stars
- tangyudi/Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
13.4K stars
- MorvanZhou/tutorials
机器学习相关教程
13.1K stars
- cupy/cupy
NumPy & SciPy for GPU
12.4K stars
- rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
11.6K 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
- ezdxf
A Python package to create/manipulate DXF drawings.
Not published by PyPI - f5-tts
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
Not published by PyPI - fabio
FabIO is an I/O library for images produced by 2D X-ray detectors and written in Python
Not published by PyPI - face-alignment
Detector 2D or 3D face landmarks from Python
Not published by PyPI - face-recognition
Recognize faces from Python or from the command line
Not published by PyPI - facenet-pytorch
Pretrained Pytorch face detection and recognition models
Not published by PyPI - facets-overview
Python code to support the Facets Overview visualization
Not published by PyPI - facexlib
Basic face library
Not published by PyPI - factor-analyzer
A Factor Analysis tool written in Python
Not published by PyPI - fadoudou2
Awesome OCR toolkits based on PaddlePaddle(8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices)
Not published by PyPI - fairlearn
A Python package to assess and improve fairness of machine learning models.
Not published by PyPI - fairseq
Facebook AI Research Sequence-to-Sequence Toolkit
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions NumPy yet.