Coverage: ElastNetMT Python tests, uploaded from Linux/Python 3.13 on eligible full CI runs; weekly and conditional nightly recovery retain the existing cadence. Other matrix lanes may fail independently. The badge reflects the last uploaded report, which may lag later direct or skip-CI commits; it does not certify a full matrix or scientific correctness.
Elastic Network Models Multi Toolkit (ElastNetMT) is an open source library to work with Elastic Network Models.
Distribution status: current source targets Python 3.11–3.14, while public delivery and admission remain uibcdf/elastnetmt#18 and uibcdf/elastnetmt#19. The prepared single-file noarch route and historical GitHub release badge do not certify a current installed public package. See installation status.
This project is under an MIT License. A copy of the license text is included in this repository.
Copyright (c) 2022 The Mexico Children's Hospital Federico Gómez, its Unit of Research on Computational Biology and Drug Design, and authors.
Project based on the Computational Molecular Science Python Cookiecutter version 1.5.
A complete list of contributors can be found checking the insights section of this repository.
The main project authors and major contributors are:
- Liliana M. Moreno Vargas
- Diego Prada Gracia