https://github.com/reanahub/reana

REANA: Reusable research data analysis platform
https://github.com/reanahub/reana

containers cwl kubernetes reproducible-research reproducible-workflows research-data reusable-science

Last synced: 2 months ago
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REANA: Reusable research data analysis platform

• Host: GitHub
• URL: https://github.com/reanahub/reana
• Owner: reanahub
• License: mit
• Created: 2017-01-16T10:00:18.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2026-03-29T11:18:30.000Z (3 months ago)
• Last Synced: 2026-03-29T14:13:13.716Z (3 months ago)
• Topics: containers, cwl, kubernetes, reproducible-research, reproducible-workflows, research-data, reusable-science
• Language: Python
• Homepage: https://docs.reana.io
• Size: 3.31 MB
• Stars: 146
• Watchers: 17
• Forks: 62
• Open Issues: 94
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Authors: AUTHORS.md

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README

          
# REANA - Reusable Analyses

[![image](https://github.com/reanahub/reana/workflows/CI/badge.svg)](https://github.com/reanahub/reana/actions)

[![image](https://readthedocs.org/projects/reana/badge/?version=latest)](https://reana.readthedocs.io/en/latest/?badge=latest)

[![image](https://codecov.io/gh/reanahub/reana/branch/master/graph/badge.svg)](https://codecov.io/gh/reanahub/reana)

[![image](https://img.shields.io/badge/discourse-forum-blue.svg)](https://forum.reana.io)

[![image](https://img.shields.io/github/license/reanahub/reana.svg)](https://github.com/reanahub/reana/blob/master/LICENSE)

[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![image](docs/logo-reana.png)](http://docs.reana.io)

## About

[REANA](http://www.reana.io) is a reusable and reproducible research data

analysis platform. It helps researchers to structure their input data, analysis

code, containerised environments and computational workflows so that the

analysis can be instantiated and run on remote compute clouds.

REANA was born to target the use case of particle physics analyses, but is

applicable to any scientific discipline. The system paves the way towards

reusing and reinterpreting preserved data analyses even several years after the

original publication.

## Features

- structure research data analysis in reusable manner

- instantiate computational workflows on remote clouds

- rerun analyses with modified input data, parameters or code

- support for several compute clouds (Kubernetes/OpenStack)

- support for several workflow specifications (CWL, Serial, Yadage, Snakemake)

- support for several shared storage systems (Ceph)

- support for several container technologies (Docker)

## Getting started

You can

[install REANA locally](https://docs.reana.io/administration/deployment/deploying-locally/),

[deploy it at scale on premises](https://docs.reana.io/administration/deployment/deploying-at-scale/)

(in about 10 minutes) or use . Once the system is ready,

you can follow the guide to run

[your first example](https://docs.reana.io/getting-started/first-example/). For

more in depth information visit the

[official REANA documentation](https://docs.reana.io/).

## Community

- Discuss [on Forum](https://forum.reana.io/)

- Follow us [on Twitter](https://twitter.com/reanahub)

- Collaborate [on GitHub](https://github.com/reanahub)

## Useful links

- [REANA home page](http://www.reana.io/)

- [REANA documentation](http://docs.reana.io/)

- [REANA on DockerHub](https://hub.docker.com/u/reanahub/)