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Dockerfile | ||
README.md | ||
supervisord-rstudio.conf |
R workspace
Docker image with R and browser-based RStudio version.
Why this images
- You need self-hosted remote development environment for R.
- You want to be one 'docker run' command away from having everything needed to work with R.
- You need isolated environment where you can work with R without affecting main environment.
- You need an environment that you can "move" to a more powerful machine if needed.
Start
docker run --name space-1 -d -p 8020-8040:8020-8040 alnoda/r-workspace
and open localhost:8020 in browser.
Features
Dev tools:
- RStudio server - open source version of popular R IDE, browser-based.
- Terminal - secure browser-based terminal.
- FileBrowser - manage files and folders inside the workspace, and exchange data between local environment and the workspace
- Cronicle - task scheduler and runner, with a web based front-end UI. It handles both scheduled, repeating and on-demand jobs, targeting any number of worker servers, with real-time stats and live log viewer.
- Static File Server - view any static html sites as easy as if you do it on your local machine. Serve static websites easily.
- Ungit - rings user friendliness to git without sacrificing the versatility of it.
- MkDocs - create awesome documentation for your project with only markdown.
- Midnight Commander - Feature rich visual file manager with internal text viewer and editor.
- Process Monitor - Monitor running process and resource utilization.
- Quicklaunch UI with getting started tutorial
Image is built from Ubuntu 20.4 with the additional CLI apps
- Zsh, Oh my Zsh
- Python 3, Pip
- Node/nodeenv
- curl, wget, telnet, jq
- Git: git, git-flow, lazygit
- File browsers: mc, xplr
- Text editors: nano, vim, mcedit
- System monitors: ncdu, htop, glances, vizex
- Process Control: supervisord
- Job scheduler: cron
Docs
See our guides on