Judge0 API VS RStudio Server

There are services like Judge0 which you can use to execute the code in a sandbox. Just send a code as a string and get a result back. You can either use their cloud offering or deploy the container yourself (it is opensource). https://github.com/judge0/judge0

I'm trying to run a local version of the Judge0 compiler, but I can't seem to access it.

I have a front-end app which exposes a code editor where the user can provide some code and it will be compiled and executed using judge0 (so not on my server). I would like to be able to save the code created by a user, but I'm not sure of the best route to do this. My initial thought was to save the code as a string in a database, passing through my back-end which could potentially have some sanitizing methods to try and minimize any danger with this. However, I'm not sure how practical/feasible it is to try and sanitize code - has anyone attempted to do this previously or have experience in this domain?

You can deploy Judge0 Extra CE on your own servers for free. Here are the release notes that include the deployment procedure.

https://judge0.com/ to run the code, you can can host it on your server for free or use their api.

A signal gets called which gets sent over Django Channels (but you can probably use an mq or something for this) which notifies a microservice that is responsible for sending and receiving submissions to an instance of https://judge0.com/

wget https://github.com/judge0/judge0/releases/download/v1.12.0/judge0-v1.12.0.zip unzip judge0-v1.12.0.zip

This particular issue should be resolved in the latest daily builds of RStudio. The underlying issue here was a conda patch included in the conda-provided builds of R, which interfered with the way RStudio attempted to load R. Please see https://github.com/rstudio/rstudio/issues/13184#issuecomment... for more details.

It is a bug that was introduced in RStudio 2023.06.0 Build 421. See Error with 'cacheKey' in .rs.WorkingDataEnv and .rs.CachedDataEnv. The current advice is to ignore or add options(rstudio.help.showDataPreview = FALSE) to your ~/.Rprofile ... so RStudio can ignore it for you.

A quick google for details from other app: https://github.com/rstudio/rstudio/wiki/Writing-Good-Feature-Requests :)

solution found here: https://github.com/rstudio/rstudio/issues/9367

u/acemachine123, if you’re using Rmarkdown or Rprojects over a network drive, connected by VPN, it’s going to be slow like u/ThatDeadDude said. Best thing you can do is thumbs up the issue here https://github.com/rstudio/rstudio/issues/10417 and use an Rscript file instead.

Hey! I can not select the Noto Sans Mono font in RStudio's Editor Font options, despite it being installed in my system, as you can see in the picture. RStudio only offers me "Noto Color Emoji" instead. When looking for this online, I only found this: https://github.com/rstudio/rstudio/issues/9512, but I am not sure if this really a related issue. Or does RStudio not support TrueType fonts? I can't find anything about this after a quick search

Next (2023.03) changelog - https://github.com/rstudio/rstudio/blob/main/version/news/NEWS-2023.03.0-cherry-blossom.md .

for example in this post they have dark menus aswell