Skip to main content

limax are python utilities for working with LiMAx.

Project description

limax logo

limax: python utilities for LiMAx

GitHub Actions CI/CD Status Current PyPI Version Supported Python Versions GNU Lesser General Public License 3 Codecov Zenodo DOI Black mypy

limax is a collection of python utilities for working with LiMAx data with source code available from https://github.com/matthiaskoenig/limax.

Features include among others

  • Visualization of LiMAx raw data

  • Anonymisation of LiMAx raw data files

  • Calculation of AUC and DOB values

If you have any questions or issues please open an issue.

Documentation

Documentation is still work in progress.

How to cite

Zenodo DOI

License

The limax source is released under both the GPL and LGPL licenses version 2 or later. You may choose which license you choose to use the software under.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License or the GNU Lesser General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Funding

Matthias König is supported by the Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054) and by the German Research Foundation (DFG) within the Research Unit Programme FOR 5151 “QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection - A Systems Medicine Approach)” by grant number 436883643 and by grant number 465194077 (Priority Programme SPP 2311, Subproject SimLivA).

Installation

limax is available from pypi and can be installed via:

pip install limax

Develop version

The latest develop version can be installed via:

pip install git+https://github.com/matthiaskoenig/limax.git@develop

Or via cloning the repository and installing via:

git clone https://github.com/matthiaskoenig/limax.git
cd limax
pip install -e .

To install for development use:

pip install -e .[development]

© 2022 Matthias König

Project details


Download files

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

Source Distribution

limax-0.1.0.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

limax-0.1.0-py2.py3-none-any.whl (10.1 kB view details)

Uploaded Python 2Python 3

File details

Details for the file limax-0.1.0.tar.gz.

File metadata

  • Download URL: limax-0.1.0.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for limax-0.1.0.tar.gz
Algorithm Hash digest
SHA256 f5189da096d64d3dd81afb7b6f7f132883962cd6ed2e1926f2a0093c90efa26d
MD5 8539eb1a8eb5a38c7f5b992e4c10c0e8
BLAKE2b-256 1c5b6d8f5190c589a871021b219ca5dd1b9de99150160d9b9a83884a1b1ccdef

See more details on using hashes here.

File details

Details for the file limax-0.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: limax-0.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 10.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for limax-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 befcf1b93421f3ee10f99a754752d1b024ec50c276cb251eb60ba30e52872403
MD5 f2ec644aac1e8263cecd53220e2de547
BLAKE2b-256 fed7c468af0b94f70975a4c6b37dcc148b1e412ac91442c883269af4d03b6378

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page