pyTAMS is a modular implementation of the trajectory-adaptive multilevel splitting method introduced by Lestang et al..
| fair-software.eu recommendations | |
|---|---|
| (1/5) code repository |  |
| (2/5) license |  |
| (3/5) community registry |  |
| (4/5) citation |  |
| (5/5) checklist | |
| howfairis |  |
| Other best practices | |
| Static analysis | |
| Coverage | |
| Documentation | |
| GitHub Actions | |
| Build |  |
| Citation data consistency |  |
| SonarCloud |  |
| MarkDown link checker |  |
To install pyTAMS from GitHub repository, do:
git clone [email protected]:nlesc-eTAOC/pyTAMS.git
cd pyTAMS
python -m pip install .Include a link to your project's full documentation here.
If you want to contribute to the development of pyTAMS, have a look at the contribution guidelines.
This package was created with Cookiecutter and the NLeSC/python-template.