NumPy is a fundamental library for scientific computing in Python, widely used by application developers for its powerful array-handling capabilities. It introduces the `ndarray` object, which is highly efficient for numerical data storage and manipulation, allowing developers to perform operations on large arrays and matrices of numerical data with ease and performance that approaches lower-level languages like C. NumPy also provides a suite of mathematical functions, linear algebra routines, and random number capabilities, facilitating complex data analysis and modeling tasks. Interoperable with other scientific libraries like SciPy and Pandas, NumPy is an essential tool in the development of applications involving any numerical computation, serving as the backbone for a variety of tasks from data analysis to machine learning. Its broadcasting capabilities streamline operations on arrays of different shapes, enabling developers to write cleaner and more efficient code.
View the most prominent open source NumPy projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆97,688Updated this week
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- A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support☆16,604Feb 18, 2026Updated last week
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- Convert Machine Learning Code Between Frameworks☆14,213Feb 7, 2026Updated 2 weeks ago
- 100 numpy exercises (with solutions)☆13,829Feb 9, 2026Updated 2 weeks ago
- Parallel computing with task scheduling☆13,746Updated this week
- 机器学习相关教程☆12,796Dec 22, 2020Updated 5 years ago
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- An open access book on scientific visualization using python and matplotlib☆11,210Jan 4, 2026Updated last month
- NumPy aware dynamic Python compiler using LLVM☆10,921Updated this week
- NumPy & SciPy for GPU☆10,804Updated this week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,708Apr 16, 2024Updated last year
- Open Machine Learning Course☆10,452Jan 24, 2026Updated last month
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,401Feb 20, 2026Updated last week
- 《利用Python进行数据分析·第2版》☆8,794Feb 2, 2026Updated 3 weeks ago
- Trax — Deep Learning with Clear Code and Speed☆8,304Sep 26, 2025Updated 5 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,990Feb 5, 2026Updated 3 weeks ago
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆7,923Feb 2, 2026Updated 3 weeks ago
- Repository to store sample python programs for python learning☆7,266Jul 24, 2025Updated 7 months ago
- 中文 Python 笔记☆7,106Oct 1, 2020Updated 5 years ago
- A flexible framework of neural networks for deep learning☆5,926Aug 28, 2023Updated 2 years ago
- 🍊 Orange: Interactive data analysis☆5,553Jan 30, 2026Updated 3 weeks ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,983Sep 22, 2023Updated 2 years ago
- Technical Analysis Library using Pandas and Numpy☆4,896Jul 17, 2024Updated last year
- 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☆4,810Oct 24, 2024Updated last year
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆4,580Nov 20, 2024Updated last year
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,542Feb 18, 2026Updated last week
- Machine Learning Containers for NVIDIA Jetson and JetPack-L4T☆4,394Updated this week
- Fast data visualization and GUI tools for scientific / engineering applications☆4,298Feb 13, 2026Updated last week
- Performance analysis of predictive (alpha) stock factors☆4,148Feb 12, 2024Updated 2 years ago
- N-D labeled arrays and datasets in Python☆4,096Updated this week
- C++ implementation of the Python Numpy library☆3,930Dec 4, 2025Updated 2 months ago
- C++ tensors with broadcasting and lazy computing☆3,704Jan 29, 2026Updated 3 weeks ago