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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- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,988Feb 5, 2026Updated last month
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- 中文 Python 笔记☆7,114Oct 1, 2020Updated 5 years ago
- A flexible framework of neural networks for deep learning☆5,922Aug 28, 2023Updated 2 years ago
- 🍊 Orange: Interactive data analysis☆5,562Mar 2, 2026Updated last week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,982Sep 22, 2023Updated 2 years ago
- Technical Analysis Library using Pandas and Numpy☆4,900Jul 17, 2024Updated last year
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- N-D labeled arrays and datasets in Python☆4,112Mar 2, 2026Updated last week
- C++ implementation of the Python Numpy library☆3,931Dec 4, 2025Updated 3 months ago
- C++ tensors with broadcasting and lazy computing☆3,712Jan 29, 2026Updated last month