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
To install the latest develoment code directly from GitHub, run
python3 -m pip install "git+https://github.com/mmore500/downstream.git@v0.4.4#egg=downstream"
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 = {10.5281/zenodo.10866541},
url = {https://zenodo.org/doi/10.5281/zenodo.10866541}
}
And don't forget to leave a star on GitHub!
Metadata
Release files for downstream 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| downstream-1.0.1.tar.gz | 15.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| downstream-1.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 45.2 kB
Release files / downstream-1.0.1.tar.gz
| Download URL | downstream-1.0.1.tar.gz |
|---|---|
| Size | 15.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Release files / downstream-1.0.1-py2.py3-none-any.whl
| Download URL | downstream-1.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 29.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|