Nextflow

“Dataflow variables are spectacularly expressive in concurrent programming”
Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum

Nextflow is a workflow system for creating scalable, portable, and reproducible workflows. It is based on the dataflow programming model, which greatly simplifies the writing of parallel and distributed pipelines, allowing you to focus on the flow of data and computation. Nextflow can deploy workflows on a variety of execution platforms, including your local machine, HPC schedulers, AWS Batch, Azure Batch, Google Cloud Batch, and Kubernetes. Additionally, it supports many ways to manage your software dependencies, including Conda, Spack, Docker, Podman, Singularity, and more.

Get started

• Get an overview of Nextflow and its key concepts.

• Get started with Nextflow by installing it and running your first script.

• Check out this blog post for even more resources on how to learn Nextflow.

Community

You can post questions and get help in the Nextflow community forum or the Nextflow Slack. Bugs and feature requests should be reported as GitHub issues.

The Nextflow community is highly active with regular community meetings, events, a podcast and more. You can view much of this material on the Nextflow and nf-core YouTube channels.

The nf-core project is a community effort aggregating high quality Nextflow workflows which can be used by everyone.

Contributing

Contributions are more than welcome. See the Contributing page for details.

License

Nextflow is released under the Apache 2.0 license. Nextflow is a registered trademark.

Citations

If you use Nextflow in your work, please cite:

P. Di Tommaso, et al. Nextflow enables reproducible computational workflows. Nature Biotechnology 35, 316–319 (2017) doi:10.1038/nbt.3820