Seqera Platform Feature Requests

Pipeline development in Nextflow is often done using docker. When inside a VS Code environment within Studios, I want to be able to run: nextflow run main.nf -with-docker The requirement is to run fast, "local" iterations rather than requiring an external service like AWS Batch or similar, which has delays.

For each of the various container template images (JupyterLab, RStudio, VSCode), once a Data Studio session is in running state, allow users to run their local installation of the application but with the code and terminal running in the remote Data Studio session via a SSH tunnel. There is a VSCode plugin available that can be reviewed for inspiration.

Within a running Data Studio session, automatically use existing Git credentials attached to the Workspace to authenticate to a remote Git repository (e.g. Github, Gitlab, Bitbucket, Gitea).

Currently, to interact with a Shiny/Dash/Streamlit dynamic dashboard you have to be connected to a running Data Studio session and manually execute the code, which typically opens a new browser window. The new application internal browser window creation process bypasses the current connect protocols and is therefore non-shareable. Making interactive dashboard URLs shareable across workspace participants would allow rapid feedback and iteration for notebook analyses/processes.