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Luna serves as the core computational library for multi-modality oncology data analysis. Luna features:

  • pathology, radiology and clinical data workflows
  • A microservice-driven architecture allowing for integrations with other open-source libraries
  • Tools for building data visualizations and statistical models

Install

Luna is available on PyPI, and can be installed via pip install pyluna. For more information about installation and setup, see the installation instructions.

Documentation

See https://pyluna.readthedocs.io

Metadata

Release files for pyluna 0.3.3

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Source distribution (sdist)

Source distribution for pyluna 0.3.3
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pyluna-0.3.3.tar.gz 35.9 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for pyluna 0.3.3
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pyluna-0.3.3-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 72.2 MB

Release files / pyluna-0.3.3.tar.gz

Download URL pyluna-0.3.3.tar.gz
Size 35.9 MB
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Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/35.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12

Release files / pyluna-0.3.3-py2.py3-none-any.whl

Download URL pyluna-0.3.3-py2.py3-none-any.whl
Size 36.3 MB
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Security for pyluna 0.3.3

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