Package: scikit-bio
Important project update (April 2022):scikit-bio is currently in maintenance mode. Due to limited developer bandwidth, we are focusing on keeping scikit-bio up-to-date with Python and Python scientific computing libraries. We plan to do this through two annual releases of scikit-bio. At this time, we have less availability for reviewing or adding new features. We realize that scikit-bio is an important tool for the bioinformatics community, and we hope to transition back to more active development in the future. If you’re interested in helping by taking a leadership role in the project, please reach out.scikit-bio is an open-source, BSD-licensed Python 3 package providing data structures, algorithms and educational resources for bioinformatics.To view scikit-bio’s documentation, visitscikit-bio.org.Note:scikit-bio is no longer compatible with Python 2. scikit-bio is compatible with Python 3.8 and later.scikit-bio is currently in beta. We are very actively developing it, andbackward-incompatible interface changes can and will arise. To avoid these types of changes being a surprise to our users, our public APIs are decorated to make it clear to users when an API can be relied upon (stable) and when it may be subject to change (experimental). See theAPI stability docsfor more details, including what we mean bystableandexperimentalin this context.InstallingThe recommended way to install scikit-bio is via thecondapackage manager available inAnacondaorminiconda.To install the latest release of scikit-bio:conda install -c conda-forge scikit-bioAlternatively, you can install scikit-bio usingpip:pip install scikit-bioYou can verify your installation by running the scikit-bio unit tests:python -m skbio.testFor users of Debian,skbiois in the Debian software distribution and may
be installed using:sudo apt-get install python3-skbio python-skbio-docGetting helpTo get help with scikit-bio, you should use theskbiotag on StackOverflow (SO). Before posting a question, check out SO’s guide on how toask a question. The scikit-bio developers regularly monitor theskbioSO tag.Projects using scikit-bioSome of the projects that we know of that are using scikit-bio are:QIIME 2EmperorAn Introduction to Applied
Bioinformaticstax2treeQiitaghost-treePlatypus-ConquistadorIf you’re using scikit-bio in your own projects, feel free to issue a pull request to add them to this list.scikit-bio developmentIf you’re interested in getting involved in scikit-bio development, seeCONTRIBUTING.md.See the list ofscikit-bio’s contributors.Licensingscikit-bio is available under the new BSD license. SeeLICENSE.txtfor scikit-bio’s license, and thelicenses directoryfor the licenses of third-party software that is
(either partially or entirely) distributed with scikit-bio.The pre-history of scikit-bioscikit-bio began from code derived fromPyCogentandQIIME, 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 (@gavinhuttley), Daniel McDonald (@wasade), Micah Hamady, Antonio Gonzalez
(@antgonza), Sandra Smit, Greg
Caporaso (@gregcaporaso), Jai
Ram Rideout (@jairideout),
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, Andrew Butterfield, Will Van Treuren (@wdwvt1), Justin Kuczynski (@justin212k), Jose Antonio Navas Molina
(@josenavas), Matthew Wakefield
(@genomematt) and Jens Reeder
(@jensreeder).Logoscikit-bio’s logo was created byAlina Prassas.