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A framework to build Software As A Service (SaaS) platforms for data analysis pipelines.
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Build Status GitHub release

A framework to build Software As A Service (SaaS) platforms for data analysis pipelines.


  • 🔧 Build your analysis pipeline in your favorite language or use Hadoop based technologies (MapReduce, Spark, Pig)
  • 📄 Integrate your analysis pipeline into Cloudgene by writing a simple configuration file
  • 💡 Get a powerful web application with user management, data transfer, error handling and more
  • ⭐️ Deploy your application with one click to any Hadoop cluster or to public Clouds like Amazon AWS
  • ☁️ Provide your application as SaaS to other scientists and handle thousands of jobs like a pro
  • 🌎 Share your application and enable everyone to clone your service to its own hardware or private cloud instance


You will need the following things properly installed on your computer.


You can install Cloudgene via our install script:

mkdir cloudgene
cd cloudgene
curl -s | bash

Test the installation with the following command:

./cloudgene version

We provide a Docker image to get a full-working Cloudgene instance in minutes without any installation.

Getting started

The hello-cloudgene application can be installed by using the following command:

./cloudgene github-install lukfor/hello-cloudgene

The webserver can be started with the following command:

./cloudgene server

The webservice is available on http://localhost:8082. Please open this address in your web browser and enter as username admin and as password admin1978 to login.

Click on Run to start the application.


A job can be started by filling out the form and clicking on the blue submit button. The hello-cloudgene application displays several inspiring quotes:


The documentation is available at

More examples can be found in genepi/cloudgene-examples.

Cloudgene and Genomics

See Cloudgene in action:


More about how to build Cloudgene from source can be found here.


Cloudgene is licensed under AGPL-3.0.

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