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           _ _    _ _          _     _
          (_) |  (_) |        | |   (_)
  ___  ___ _| | ___| |_ ______| |__  _  ___
 / __|/ __| | |/ / | __|______| '_ \| |/ _ \
 \__ \ (__| |   <| | |_       | |_) | | (_) |
 |___/\___|_|_|\_\_|\__|      |_.__/|_|\___/


       Opisthokonta
               \  Amoebozoa
                \ /
                 *    Euryarchaeota
                  \     |_ Crenarchaeota
                   \   *
                    \ /
                     *
                    /
                   /
                  /
                 *
                / \
               /   \
    Proteobacteria  \
                   Cyanobacteria

Build Status

Core objects, functions and statistics for working with biological data in Python.

To view scikit-bio's documentation, visit scikit-bio.org.

Note: scikit-bio is currently under active development and its API is not stable. Major compatibility-breaking API changes will likely happen as development progresses. Once the API has started to solidify and we have an official release, we will strive to maintain backwards compatibility, provide deprecation warnings, etc. wherever possible. In the meantime, feel free to try out scikit-bio and let us know what you think!

Licensing

scikit-bio is available under the new BSD license. See COPYING.txt for scikit-bio's license, and the licenses directory for the licenses of other software that is (either partially or entirely) distributed with scikit-bio.

scikit-bio development

If you're interested in getting involved in or learning about scikit-bio development, see CONTRIBUTING.md, in this directory.

See the list of all of scikit-bio's contributors.

The pre-history of scikit-bio

scikit-bio began from code derived from PyCogent and QIIME, and the contributors and/or copyright holders have agreed to make the code they wrote for PyCogent and/or QIIME available under the BSD license. The contributors to PyCogent and/or QIIME modules that have been ported to scikit-bio are: Rob Knight (@rob-knight), Gavin Huttley (@gavin-huttley), Daniel McDonald (@wasade), Micah Hamady, Antonio Gonzalez (@antgonza), Sandra Smit, Greg Caporaso (@gregcaporaso), Jai Ram Rideout (@ElBrogrammer), Cathy Lozupone (@clozupone), Mike Robeson (@mikerobeson), Marcin Cieslik, Peter Maxwell, Jeremy Widmann, Zongzhi Liu, Michael Dwan, Logan Knecht (@loganknecht), Andrew Cochran, Jose Carlos Clemente (@cleme), Damien Coy, Levi McCracken, and Andrew Butterfield.

Logo

scikit-bio ASCII art created by @gregcaporaso. Text logo created at patorjk.com.

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Tools for biological data analysis in python.

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