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GitHub / composable-logs / composable-logs

Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documentation site with more details and demo:

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/composable-logs%2Fcomposable-logs

Stars: 17
Forks: 0
Open Issues: 12

License: mit
Language: Python
Repo Size: 1.17 MB
Dependencies: 11

Created: almost 3 years ago
Updated: about 1 month ago
Last pushed: 12 months ago
Last synced: 15 days ago

Commit Stats

Commits: 230
Authors: 2
Mean commits per author: 115.0
Development Distribution Score: 0.017
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/composable-logs/composable-logs

Topics: dag, data-science, datascience, jupyter-notebooks, jupytext, mlops, notebooks, papermill, pipeline, pipelines, python, python3, ray

Files
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    Readme
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    Dependencies
    docker/requirements.txt pypi
    docs/requirements.txt pypi