Need help with scipy?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

scipy
7.7K Stars 3.5K Forks BSD 3-Clause "New" or "Revised" License 24.5K Commits 1.6K Opened issues

Description

Scipy library main repository

Services available

!
?

Need anything else?

Contributors list

No Data

SciPy

.. image:: https://img.shields.io/travis/scipy/scipy/master.svg?label=Travis%20CI :target: https://travis-ci.org/scipy/scipy/

.. image:: https://img.shields.io/appveyor/ci/scipy/scipy/master.svg?label=AppVeyor :target: https://ci.appveyor.com/project/scipy/scipy

.. image:: https://img.shields.io/circleci/project/github/scipy/scipy/master.svg?label=CircleCI :target: https://circleci.com/gh/scipy/scipy

.. image:: https://dev.azure.com/scipy-org/SciPy/apis/build/status/scipy.scipy?branchName=master :target: https://dev.azure.com/scipy-org/SciPy/build/latest?definitionId=1?branchName=master

.. image:: https://github.com/scipy/scipy/workflows/macOS%20tests/badge.svg?branch=master :target: https://github.com/scipy/scipy/actions?query=workflow%3A%22macOS+tests%22

.. image:: https://img.shields.io/pypi/dm/scipy.svg?label=Pypi%20downloads :target: https://pypi.org/project/scipy/

.. image:: https://img.shields.io/conda/dn/conda-forge/scipy.svg?label=Conda%20downloads :target: https://anaconda.org/conda-forge/scipy

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

  • Website: https://www.scipy.org/
  • Documentation: https://docs.scipy.org/
  • Mailing list: https://scipy.org/scipylib/mailing-lists.html
  • Source code: https://github.com/scipy/scipy
  • Bug reports: https://github.com/scipy/scipy/issues
  • Code of Conduct: https://scipy.github.io/devdocs/dev/conduct/codeofconduct.html
  • Report a security vulnerability: https://tidelift.com/docs/security

SciPy depends on NumPy, which provides convenient and fast N-dimensional array manipulation. SciPy is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines, such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

For the installation instructions, see INSTALL.rst.txt_.

We appreciate and welcome contributions. If you would like to take part in SciPy development, take a look at the file CONTRIBUTING.rst_.

.. _CONTRIBUTING.rst: https://github.com/scipy/scipy/blob/master/CONTRIBUTING.rst .. _INSTALL.rst.txt: https://github.com/scipy/scipy/blob/master/INSTALL.rst.txt

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.