downstream provides efficient, constant-space algorithms for stream curation
Project description
Downstream --- Python Implementation
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[jit]"
A containerized release of downstream is available via https://ghcr.io
singularity exec docker://ghcr.io/mmore500/downstream:v1.16.5 python3 -m downstream --help
Citing
If downstream contributes to a scientific publication, please cite it as
Yang C., Wagner J., Dolson E., Zaman L., & Moreno M. A. (2025). Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling. arXiv preprint arXiv:2506.12975. https://doi.org/10.48550/arXiv.2506.12975
@misc{yang2025downstream,
doi={10.48550/arXiv.2506.12975},
url={https://arxiv.org/abs/2506.12975},
title={Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling},
author={Connor Yang and Joey Wagner and Emily Dolson and Luis Zaman and Matthew Andres Moreno},
year={2025},
eprint={2506.12975},
archivePrefix={arXiv},
primaryClass={cs.DS},
}
And don't forget to leave a star on GitHub!
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