You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
What if iSEEtree was continuously deployed on a server? This would be a great resource for users to get familiar with the interface without having to run the app from R. shinyapps.io offers 25 hours of active deployment per month. However, if we deployed iSEEtree on the utu datascience server it would be always active (even though sometimes the server is rebooted).
Things to do:
consider which deployment options are available (shinyapps.io, utu datascience server, ...)
test if iSEEtree can be run on the chosen server (for example, with Tengeler2020)
track changes and update app with GitHub Actions
make it accessible to users and add links to iSEEtree documentation and maybe OMA
The text was updated successfully, but these errors were encountered:
What if iSEEtree was continuously deployed on a server? This would be a great resource for users to get familiar with the interface without having to run the app from R. shinyapps.io offers 25 hours of active deployment per month. However, if we deployed iSEEtree on the utu datascience server it would be always active (even though sometimes the server is rebooted).
Things to do:
The text was updated successfully, but these errors were encountered: