Welcome to gwf

gwf is a flexible, pragmatic workflow tool for building and running large, scientific workflows. It runs on Python 3.5+ and is developed at the Bioinformatics Research Centre (BiRC), Aarhus University.

Examples

To get a feeling for what a gwf workflow looks like, have a look at a few examples.

Getting started

To quickly get started writing workflows in gwf you can read the Tutorial.

Extending

We don’t have the backend you need to run your workflow on your cluster? See the Writing Backends section to roll your own.

Contributing

We aim to make gwf a community developed project. Learn how to contribute.

Features

  • Easy to adopt, there’s no special syntax to learn if you already know Python

  • Automatically resolves dependencies between targets based on filenames

  • Only submits targets when their output files are not up to date

  • Supports multiple backends like Slurm, SGE and a local backend for testing

  • Fire-and-forget, does not require you to use screen or tmux to keep your workflow running

  • Commands for cleaning temporary data from your workflow

  • Friendly to your system administrator!

Contributors

  • Thomas Mailund

  • Dan Søndergaard

  • Anders Halager

  • Michael Knudsen

  • Tobias Madsen