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☆99,047Updated this week
- The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge m…☆60,787Apr 4, 2026Updated last week
- Python Data Science Handbook: full text in Jupyter Notebooks☆47,254Jun 26, 2024Updated last year
- Visualizer for neural network, deep learning and machine learning models☆32,736Updated this week
- The fundamental package for scientific computing with Python.☆31,783Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,983Mar 20, 2024Updated 2 years ago
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools☆21,374Apr 7, 2026Updated last week
- A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support☆16,705Apr 6, 2026Updated last week
- 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☆16,796Jan 24, 2026Updated 2 months ago
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,400Oct 19, 2019Updated 6 years ago
- Convert Machine Learning Code Between Frameworks☆14,206Feb 7, 2026Updated 2 months ago
- 100 numpy exercises (with solutions)☆14,022Feb 9, 2026Updated 2 months ago
- Parallel computing with task scheduling☆13,799Apr 7, 2026Updated last week
- 机器学习相关教程☆12,878Dec 22, 2020Updated 5 years ago
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- An open access book on scientific visualization using python and matplotlib☆11,240Jan 4, 2026Updated 3 months ago
- NumPy aware dynamic Python compiler using LLVM☆10,964Updated this week
- NumPy & SciPy for GPU☆10,888Updated this week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,802Apr 16, 2024Updated last year
- Open Machine Learning Course☆10,546Mar 1, 2026Updated last month
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,456Updated this week
- 《利用Python进行数据分析·第2版》☆8,874Feb 2, 2026Updated 2 months ago
- Trax — Deep Learning with Clear Code and Speed☆8,301Sep 26, 2025Updated 6 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,986Updated this week
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆8,021Mar 31, 2026Updated 2 weeks ago
- Repository to store sample python programs for python learning☆7,289Jul 24, 2025Updated 8 months ago
- 中文 Python 笔记☆7,115Oct 1, 2020Updated 5 years ago
- A flexible framework of neural networks for deep learning☆5,919Aug 28, 2023Updated 2 years ago
- 🍊 Orange: Interactive data analysis☆5,596Apr 3, 2026Updated last week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,997Sep 22, 2023Updated 2 years ago
- Technical Analysis Library using Pandas and Numpy☆5,002Mar 18, 2026Updated 3 weeks 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☆4,806Oct 24, 2024Updated last year
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆4,664Nov 20, 2024Updated last year
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,554Mar 27, 2026Updated 2 weeks ago
- Machine Learning Containers for NVIDIA Jetson and JetPack-L4T☆4,571Updated this week
- Fast data visualization and GUI tools for scientific / engineering applications☆4,325Mar 9, 2026Updated last month
- Performance analysis of predictive (alpha) stock factors☆4,217Feb 12, 2024Updated 2 years ago
- N-D labeled arrays and datasets in Python☆4,129Updated this week
- C++ implementation of the Python Numpy library☆3,952Mar 17, 2026Updated 3 weeks ago
- C++ tensors with broadcasting and lazy computing☆3,723Apr 7, 2026Updated last week