infinitic
common-workflow-language
infinitic | common-workflow-language | |
---|---|---|
1 | 6 | |
308 | 1,441 | |
10.7% | 0.4% | |
7.6 | 1.1 | |
25 days ago | 6 months ago | |
Kotlin | Common Workflow Language | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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infinitic
common-workflow-language
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Nextflow: Data-Driven Computational Pipelines
https://www.commonwl.org/
https://github.com/common-workflow-language/common-workflow-...
- Common Workflow Language (CWL)
- Are there any good resources for building data pipelines?
- Common Workflow Language
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Kestra - Open-Source Airflow Alternative
And we can add it to the ever-growing list of existing workflow frameworks; https://github.com/common-workflow-language/common-workflow-language/wiki/Existing-Workflow-systems
What are some alternatives?
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
kestra - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
WALKOFF - A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber
nextflow - A DSL for data-driven computational pipelines
workflow-kotlin - A Swift and Kotlin library for making composable state machines, and UIs driven by those state machines.
toil - A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
awesome-workflow-engines - A curated list of awesome open source workflow engines
gh-action-pypi-publish - The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI: https://github.com/marketplace/actions/pypi-publish
common-workflow-
pipedream - Connect APIs, remarkably fast. Free for developers.
redun - Yet another redundant workflow engine
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.