Giter Club home page Giter Club logo

Common Workflow Language

Main website: https://www.commonwl.org

GitHub repository for www.commonwl.org: https://www.github.com/common-workflow-language/cwl-website

CWL v1.0.x: https://github.com/common-workflow-language/common-workflow-language (this repository)

CWL v1.1.x: https://github.com/common-workflow-language/cwl-v1.1/

CWL v1.2.x: https://github.com/common-workflow-language/cwl-v1.2/

Support Gitter GitHub stars

[Video] Common Workflow Language explained in 64 seconds The Common Workflow Language (CWL) is a specification for describing analysis workflows and tools in a way that makes them portable and scalable across a
variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, Physics, and Chemistry.

Open Stand badge CWL is developed by a multi-vendor working group consisting of organizations and individuals aiming to enable scientists to share data analysis workflows. The CWL project is maintained on Github and we follow the Open-Stand.org principles for collaborative open standards development. Legally, CWL is a member project of Software Freedom Conservancy and is formally managed by the elected CWL leadership team, however every-day project decisions are made by the CWL community which is open for participation by anyone.

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

User Guide

The CWL user guide provides a gentle introduction to learning how to write CWL command line tool and workflow descriptions.

CWLの日本語での解説ドキュメント is a 15 minute introduction to the CWL project in Japanese.

CWL Recommended Practices

CWLの日本語での解説ドキュメント is a 15 minute introduction to the CWL project in Japanese.

A series of video lessons about CWL is available in Russian as part of the Управление вычислениями(Computation Management) free online course.

Citation

To reference the CWL project in a scholary work, please use the following citation:

Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reyes, Bogdan Gavrilović, Carole Goble, and The CWL Community. (2022): Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language. Commun. ACM 65, 6 (June 2022), 54–63. https://doi.org/10.1145/3486897

To cite version 1.0 of the CWL standards specifically, please use the following citation inclusive of the DOI.

Peter Amstutz, Michael R. Crusoe, Nebojša Tijanić (editors), Brad Chapman, John Chilton, Michael Heuer, Andrey Kartashov, Dan Leehr, Hervé Ménager, Maya Nedeljkovich, Matt Scales, Stian Soiland-Reyes, Luka Stojanovic (2016): Common Workflow Language, v1.0. Specification, Common Workflow Language working group. https://w3id.org/cwl/v1.0/ doi:10.6084/m9.figshare.3115156.v2

A collection of existing references to CWL can be found at https://zotero.org/groups/cwl

Code of Conduct

The CWL Project is dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, age, race, or religion. We do not tolerate harassment of participants in any form. This code of conduct applies to all CWL Project spaces, including the Google Group, the Gitter chat room, the Google Hangouts chats, both online and off. Anyone who violates this code of conduct may be sanctioned or expelled from these spaces at the discretion of the leadership team.

For more details, see our Code of Conduct.

For the following content:

  • Support, Community and Contributing
  • CWL Implementations
  • Repositories of CWL Tools and Workflows
  • Software for working with CWL
    • Editors and viewers
    • Utilities
    • Converters and code generators
    • Code libraries
  • Projects the CWL community is participating in
  • Participating Organizations
  • Individual Contributors
  • CWL Advisors
  • CWL Leadership team

Please see https://www.commonwl.org

Common Workflow Language's Projects

.github icon .github

Default community health files for the CWL project

acd2cwl icon acd2cwl

CWL generator for ACD (EMBOSS) files

bosc-abstracts icon bosc-abstracts

Abstract and presentation material for the Bioinformatics Open Source Conference 2015

conformance icon conformance

Location to store the results of CWL conformance testing

cwl2argparse icon cwl2argparse

cwl2argparse generates an argparse definition from CWL tool arguments that can be pasted in a Python program and used

cwldep icon cwldep

Common Workflow Language dependency manager

cwljava icon cwljava

Java SDK for the Common Workflow Language standards

cwlprov icon cwlprov

Profile for provenance research object of a CWL workflow run

cwlprov-py icon cwlprov-py

cwlprov: Command line tool and Python API to explore Research Objects containing provenance of Common Workflow Language executions

cwltest icon cwltest

Framework for testing CWL tools and workflows

cwltool icon cwltool

Common Workflow Language reference implementation

cwlviewer icon cwlviewer

A web application to view and share Common Workflow Language workflows

governance icon governance

Holds public material generated by and for the CWL board.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.