Skip to main content

downstream provides efficient, constant-space algorithms for stream curation

Project description

Downstream --- Python Implementation

downstream wordmark

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[jit]"

A containerized release of downstream is available via https://ghcr.io

singularity exec docker://ghcr.io/mmore500/downstream:v1.17.0 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!

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

downstream-1.17.0.tar.gz (86.6 kB view details)

Uploaded Source

Built Distribution

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

downstream-1.17.0-py2.py3-none-any.whl (222.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file downstream-1.17.0.tar.gz.

File metadata

  • Download URL: downstream-1.17.0.tar.gz
  • Upload date:
  • Size: 86.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for downstream-1.17.0.tar.gz
Algorithm Hash digest
SHA256 d7243060928c698c61c51d9f0b1b2b665d492bf54d0c11198de51f0c7e59f071
MD5 8d405c6509495b4c4e5e569622d9b30b
BLAKE2b-256 1f59f744e7d625bd18d76c7b579dfe1fc491990b813938474973d7ec9b629bf5

See more details on using hashes here.

File details

Details for the file downstream-1.17.0-py2.py3-none-any.whl.

File metadata

  • Download URL: downstream-1.17.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 222.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for downstream-1.17.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 db2556697cc08e621dfa12cccf02355a99fdfab6722a62a4ad7aeeba7fa72865
MD5 30f32a8803993670b41ca1a8b73da721
BLAKE2b-256 c36561695ae1994f1e8ccd6a88bde50b85747362745d33a668fe8083f3f970a7

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