Common Workflow Language

The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility.

CWL builds on technologies such as JSON-LD and Avro for data modeling and Docker for portable runtime environments.

CWL is designed to express workflows for data-intensive science, such as Bioinformatics, Chemistry, Physics, and Astronomy.

CWL Specification

The current stable specification is draft 2:

http://common-workflow-language.github.io/draft-2/

The current work in progress specification is draft 3:

http://common-workflow-language.github.io/draft-3/

Implementations

Implementations working on or currently capable of running the Common Workflow Language:

Examples

Github repository of example tools and workflows.

Development and testing

The CWL effort is on Github:

https://github.com/common-workflow-language/common-workflow-language

There is a Jenkins server maintained by Curoverse that runs tests for the reference implementation, builds and uploads packages, and builds and uploads Docker images:

https://ci.curoverse.com/job/common-workflow-language/

Current build status:

Community and Contributing

If you are interested in learning more or contributing ideas or code, come chat with us on Gitter, check out #CommonWL on Twitter, join the mailing list common-workflow-language on Google Groups or fork the repository and send a pull request!

Participating Organizations

Individual Contributors

Peter Amstutz [email protected]
John Chilton [email protected]
Michael R. Crusoe [email protected]
John Kern [email protected]
Hervé Ménager [email protected]
Maxim Mikheev [email protected]
Tim Pierce [email protected]
Stian Soiland-Reyes [email protected]
Luka Stojanovic [email protected]
Nebojsa Tijanic [email protected]
Sinisa Ivkovic [email protected]
Robin Andeer [email protected]
Roman Valls Guimerà [email protected]
Guillermo Carrasco Hernandez [email protected]
Brad Chapman [email protected]
Josh Randall [email protected]
Andrey Kartashov [email protected]
Dan Leehr [email protected]

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