Skip to main content

The Kagami library (Kaga)

Project description

License: LGPL v3 Python 2.7 Python 3.7 PyPI version

Kagami Library

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.

Dependencies

  • Python >= 3.7.5
  • numpy >= 1.17.4
  • requests >= 2.22.0
  • tables >= 3.6.1

For RWrapper:

  • rpy2 >= 3.2.4
  • R >= 3.6.1

For pytest, test coverage, and profiling:

  • pytest >= 5.3.2
  • pytest-cov >= 2.8.1
  • pytest-profiling >= 1.7.0

Lower versions may work but have not been tested.

Installation

Using pip:

pip install kagami

Testing

python -c "import kagami; kagami.test()"

Citation

If you use Kagami, SLB or MOCA in a publication, we would appreciate citations: (coming soon)

Kagami is part of Albert's scientific toolbox.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Built Distribution

kagami-3.0.17-py3-none-any.whl (49.0 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page