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.
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- A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support☆16,805Updated this week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,409Oct 19, 2019Updated 6 years ago
- 100 numpy exercises (with solutions)☆14,228Apr 29, 2026Updated 2 months ago
- Parallel computing with task scheduling☆13,860Updated this week
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- 机器学习相关教程☆12,967Dec 22, 2020Updated 5 years ago
- An open access book on scientific visualization using python and matplotlib☆11,340Jan 4, 2026Updated 6 months ago
- NumPy aware dynamic Python compiler using LLVM☆11,068Updated this week
- NumPy & SciPy for GPU☆11,585Jun 28, 2026Updated last week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,908Apr 16, 2024Updated 2 years ago
- Open Machine Learning Course☆10,661Mar 1, 2026Updated 4 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,537May 31, 2026Updated last month
- 《利用Python进行数据分析·第2版》☆8,945May 13, 2026Updated last month
- Trax — Deep Learning with Clear Code and Speed☆8,307Sep 26, 2025Updated 9 months ago
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆8,139Jun 4, 2026Updated last month
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,989Apr 10, 2026Updated 2 months ago
- Repository to store sample python programs for python learning☆7,311Jul 24, 2025Updated 11 months ago
- 中文 Python 笔记☆7,131Oct 1, 2020Updated 5 years ago
- A flexible framework of neural networks for deep learning☆5,918Aug 28, 2023Updated 2 years ago
- 🍊 Orange: Interactive data analysis☆5,641Updated this week
- Technical Analysis Library using Pandas and Numpy☆5,104Mar 18, 2026Updated 3 months ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆5,025Sep 22, 2023Updated 2 years ago
- 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☆4,807Oct 24, 2024Updated last year
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- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,574Updated this week
- Fast data visualization and GUI tools for scientific / engineering applications☆4,369Updated this week
- Performance analysis of predictive (alpha) stock factors☆4,349Feb 12, 2024Updated 2 years ago
- N-D labeled arrays and datasets in Python☆4,167Updated this week
- C++ implementation of the Python Numpy library☆3,963Mar 17, 2026Updated 3 months ago
- C++ tensors with broadcasting and lazy computing☆3,747Jun 27, 2026Updated last week