A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
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Updated
Oct 4, 2024 - Python
CWL documents describe workflows made of command line data analysis tools in a portable, reproducible, and reusable fashion.
A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
Common Workflow Language reference implementation
Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊
Visual and code editor for Common Workflow Language
The CWL v1.0 - v1.2 user guide
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
REANA: Reusable research data analysis platform
CWL CommandLineTool descriptions for biology/life-sciences related applications
Python package to extend Airflow functionality with CWL1.1 support
cwl-tes submits your tasks to a TES server. Task submission is parallelized when possible.
A web application to view and share Common Workflow Language workflows
Tibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.
An app store for scientific workflows, tools, notebooks, and services
Python library for RO-Crate
Introduction to Workflows with Common Workflow Language
Typescript data model for Common Workflow Language
Created by Peter Amstutz, John Chilton, Michael R. Crusoe, Nebojša Tijanić, and the CWL Community
Released January 2015