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downstream provides efficient, constant-space algorithms for stream curation

Project description

Downstream

CI GitHub stars PyPi DOI

downstream provides efficient, constant-space implementations of stream curation algorithms.

  • Free software: MIT license

Installation

To install from PyPi with pip, run

python3 -m pip install downstream

To install the latest release directly from GitHub, run

python3 -m pip install "git+https://github.com/mmore500/downstream.git@v0.4.4#egg=downstream"

Documentation

Slide deck & graphics for this project are at https://hopth.ru/ce.

See https://github.com/mmore500/hstrat-surface-concept for usage examples.

Citing

If downstream contributes to a scientific publication, please cite it as

Matthew Andres Moreno. (2024). mmore500/downstream. Zenodo. https://zenodo.org/doi/10.5281/zenodo.10866541

@software{moreno2024downstream,
  author = {Matthew Andres Moreno},
  title = {mmore500/downstream},
  month = mar,
  year = 2024,
  publisher = {Zenodo},
  doi = {TODO},
  url = {https://zenodo.org/doi/10.5281/zenodo.10866541}
}

And don't forget to leave a star on GitHub!

Credits

This package was created with Cookiecutter and the mmore500/cookiecutter-dishtiny-project project template.

Project details


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