StreamFlow

Reuse your code

Leverage containers to run the same code on different architectures, ensuring portability and numerical stability to your application

Manage complex multi-agent environments, ensuring co-scheduling and orchestration of heterogeneous applications

Seamlessly bind each step of your workflow to the best suitable architecture, without worrying about shared data volumes

Step 1

Step 2

Step 3

Make sure you have Python 3.10 or newer installed.

streamflow

$ python3 --version

Install StreamFlow from PyPI with pip.

streamflow

$ pip install streamflow

Execute your workflow everywhere with a single command.

streamflow

$ streamflow run streamflow.yml

Define your workflow with CWL, execute it anywhere.