Scikit-bio is available under the new BSD license. See the list of scikit-bio's contributors. If you're interested in getting involved in scikit-bio development, see CONTRIBUTING.md.

If you're using scikit-bio in your own projects, feel free to issue a pull request to add them to this list. Some of the projects that we know of that are using scikit-bio are: The scikit-bio developers regularly monitor the skbio SO tag. Before posting a question, check out SO's guide on how to ask a question. To get help with scikit-bio, you should use the skbio tag on StackOverflow (SO). You can verify your installation by running the scikit-bio unit tests: python -m skbio.testįor users of Debian, skbio is in the Debian software distribution and mayīe installed using: sudo apt-get install python3-skbio python-skbio-doc To install the latest release of scikit-bio: conda install -c conda-forge scikit-bioĪlternatively, you can install scikit-bio using pip: The recommended way to install scikit-bio is via the conda package manager available in Anaconda or miniconda. See the API stability docs for more details, including what we mean by stable and experimental in this context. 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). Scikit-bio is currently in beta and backward-incompatible interface changes can and will arise. scikit-bio is compatible with Python 3.8 and later. Note: scikit-bio is no longer compatible with Python 2. If you're interested in helping by taking a leadership role in the project, please reach out. 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. At this time, we have less availability for reviewing or adding new features. We plan to do this through two annual releases of scikit-bio. Due to limited developer bandwidth, we are focusing on keeping scikit-bio up-to-date with Python and Python scientific computing libraries. Important project update (April 2022): scikit-bio is currently in maintenance mode.

Conda install sklearn