{ "info": { "author": "scikit-bio development team", "author_email": "gregcaporaso@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: BSD License", "Operating System :: MacOS :: MacOS X", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Bio-Informatics", "Topic :: Software Development :: Libraries" ], "description": "\n.. image:: http://scikit-bio.org/assets/logo.svg\n :target: http://scikit-bio.org\n :alt: scikit-bio logo\n\n|Build Status| |Coverage Status| |ASV Benchmarks| |Gitter Badge| |Depsy Badge| |Anaconda Build Platforms| |Anaconda Build Version| |License| |Downloads| |Install|\n\nscikit-bio is an open-source, BSD-licensed Python 3 package providing data structures, algorithms and educational resources for bioinformatics.\n\nTo view scikit-bio's documentation, visit `scikit-bio.org\n`__.\n\n**Note:** scikit-bio is no longer compatible with Python 2. scikit-bio is compatible with Python 3.4 and later.\n\nscikit-bio is currently in beta. We are very actively developing it, and **backward-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 the `API stability docs `_ for more details, including what we mean by *stable* and *experimental* in this context.\n\nInstalling\n----------\n\nThe recommended way to install scikit-bio is via the ``conda`` package manager available in `Anaconda `_ or `miniconda `_.\n\nTo install the latest release of scikit-bio::\n\n conda install -c conda-forge scikit-bio\n\nAlternatively, you can install scikit-bio using ``pip``::\n\n pip install numpy\n pip install scikit-bio\n\nYou can verify your installation by running the scikit-bio unit tests::\n\n python -m skbio.test\n\nFor users of Debian, ``skbio`` is in the Debian software distribution and may\nbe installed using::\n\n sudo apt-get install python3-skbio python-skbio-doc\n\n\nGetting help\n------------\n\nTo get help with scikit-bio, you should use the `skbio `_ tag on StackOverflow (SO). Before posting a question, check out SO's guide on how to `ask a question `_. The scikit-bio developers regularly monitor the ``skbio`` SO tag.\n\nProjects using scikit-bio\n-------------------------\n\nSome of the projects that we know of that are using scikit-bio are:\n\n- `QIIME `__\n- `Emperor `__\n- `An Introduction to Applied\n Bioinformatics `__\n- `tax2tree `__\n- `Qiita `__\n- `ghost-tree `__\n- `Platypus-Conquistador `__\n\nIf you're using scikit-bio in your own projects, feel free to issue a pull request to add them to this list.\n\nscikit-bio development\n----------------------\n\nIf you're interested in getting involved in scikit-bio development, see `CONTRIBUTING.md `__.\n\nSee the list of `scikit-bio's contributors\n`__.\n\nLicensing\n---------\n\nscikit-bio is available under the new BSD license. See\n`COPYING.txt `__ for scikit-bio's license, and the\n`licenses directory `_ for the licenses of third-party software that is\n(either partially or entirely) distributed with scikit-bio.\n\nThe pre-history of scikit-bio\n-----------------------------\n\nscikit-bio began from code derived from `PyCogent\n`__ and `QIIME `__, and\nthe contributors and/or copyright holders have agreed to make the code\nthey wrote for PyCogent and/or QIIME available under the BSD\nlicense. 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