ccorcoveanu / giraffetools

a Graphical Interface for Reproducible Analysis oF workFlow Experiments

Website: www.giraffe.tools

Giraffe Tools

This web application is in the early stages of construction

Giraffe

a Graphical Interface for Reproducible Analysis oF workFlow Experiments

This is a web application with a set of tools to build and improve your data analysis! Initially, this will focus on neuroscientific applications. The first goal is to make a web application from my earlier project Porcupine, a visual workflow editor. This can further be developped to support version control of a workflow by means of Github integration, connect to visualisation or execution platforms, and much more.

Intended usage

The plan is to have a user go to: https://www.giraffe.tools/gh/$username/$repository/$branch and there find a dashboard of the project. A project is a GitHub repository that is characterised by a GIRAFFE.yml configuration file in its root and links to configuration files of specific tools. The rest of the repository doesn't matter.

Example (work in progress): https://www.giraffe.tools/gh/TimVanMourik/SomeGiraffeExample/master

This is similar in usage to for example GitPitch, which is how the exaplantory presentation about this repository was made: https://gitpitch.com/TimVanMourik/GiraffeTools/master.

Potential Tools

• Porcupine Visual workflow editor
  • Visual representation of data flow
  • Connect input/output ports on functions/nodes
  • From this workflow representation, make code for execution this workflow
• OAuth Github link to easily save (commit) workflows to GitHub
• Code execution integration, via, e.g., Amazon
• Analysis preregistration
• DOI (persistent identifiers) for analysis workflow
• Visualisation of the data that flows through pipeline
  • Stretch goal: Augmented Reality visualisation (like this project). This should definitely be called ARmadillo
• [Your input here!]

General

• This website can locally be deployed with Docker. You can run this web application locally by installing and running Docker and docker-compose, and simply typing docker-compose up in the terminal/command prompt.
• Join us on Slack!

Tests

To run the Python test suite:

cd app
python manage.py test

To run the React test suite:

npm test

Interesting links:

• https://gitpitch.com
• https://gitcoin.co
• https://github.com/Cloud-CV/Fabrik
• https://github.com/slicedrop
• https://github.com/rii-mango
• https://github.com/FNNDSC/ami