A framework to support functional programming for computational biology algorithm development
The Kagami library is a Python package to accelerate the development of novel computational biology algorithms. It is currently under rapid growth. Although the APIs are aimed to remain consistent within a major version, compatible between releases are not guaranteed. Please note that there is no plan to include documents anytime soon.
The Kagami library is distributed under the GNU Lesser General Public License v3.0.
Using pip:
pip install kagami
python -c "import kagami; kagami.test()"
If you use Kagami, ACS or MOCHA in a publication, we would appreciate citations: (coming soon)
FAQs
A framework to support functional programming for computational biology algorithm development
We found that kagami demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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