There are lots of ways that you can contribute and participate in Arbor. You can add new functions, datasets, and collections to Arbor, expanding the types of analyses you can do in Arbor. You can also access our source code, using github to report bugs and pull requests to fix things and extend our functionality.
Add to Arbor
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| Add new functions |
Our tutorials show how one can add new functions (in R or Python) to Arbor. You can also save, download, and share your functions with your friends |
| Create and share Arbor workflows |
Tutorials are also the best place to go to learn about building Arbor workflows are visual maps of functions that are connected via inputs and outputs. You can also save, download, and share workflows. |
| Create or modify Arbor collections |
Arbor functions and workflows are organized in collections. Using github and Arbor together, you can add to or edit our collections, or submit your own collection. |
| Add a new R package or python library to Arbor |
If you have an R package stored on CRAN or github, you can install it on Arbor and immediately use functions from your package in Arbor. |
Document your Arbor functions and collections
Create new Arbor apps
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| Create Arbor apps |
You can take a useful Arbor function or workflow and create a dedicated Arbor app, which is a web page that runs your algorithm. This requires just a bit of knowledge of javascript. |
Work with the Arbor source code to fix bugs or extend functionality
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We have detailed instructions to install Arbor on your own machine.
For more information about the source code repository, contact us.