Website: https://giraffe.tools

Tools for Graphical Interface for Reproducible Analysis oF workFlow Experiments

GiraffeTools is a web application for interactive graphical data analysis pipeline construction. The workflow is loaded from and saved to GitHub.

Currently, GiraffeTools focusses on neuroscientific data analysis and it supercedes the initial stand-alone application Porcupine, published here.

GiraffeTools reads information straight from an analysis repository, just to: https://giraffe.tools/github/$username/$repository/$branch to find a dashboard of the project. A GiraffeTools repository is characterised by a GIRAFFE.yml configuration file in its root and links to configuration files of specific tools.

Example: https://giraffe.tools/github/TimVanMourik/SomeGiraffeExample/master

Currently, GiraffeTools features:

• 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
• Visualisation of the data that flows through pipeline
  • We have a working prototype of Augmented Reality brain visualisation here, ARmadillo

• 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 web in the terminal/command prompt.
• If you want to customise your settings, specify this in a .env file in the root of the project. You can start by renaming the env.sample.
• You can run the site in three different modes, MODE=watch|development|production. Default is watch. This automatically updates your browser pages upon saving a file, no refresh needed! In development mode, you can still use debug statement, but there is no 'hot reloading'. The production mode is the way it's gonna be like online.
• Join us on Slack!

Any conributions are much appreciated! In the form of issues about bugs, feature requests, enhancement ideas, or even pull requests! If you like more details, you can find them in CONTRIBUTING.md.

• 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
• https://github.com/facebookresearch/visdom
• https://galaxyproject.org/tutorials/g101/
• https://github.com/tensorflow/tensorboard