RStudio Server
ML-Workspace
RStudio Server | ML-Workspace | |
---|---|---|
54 | 7 | |
4,561 | 3,324 | |
0.8% | 0.4% | |
9.9 | 2.7 | |
1 day ago | 6 months ago | |
Java | Jupyter Notebook | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RStudio Server
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RStudio: Integrated development environment (IDE) for R
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.
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Random error to subset dataframe... no clue why
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.
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Version 5.4.0
A quick google for details from other app: https://github.com/rstudio/rstudio/wiki/Writing-Good-Feature-Requests :)
- R markdown knit to html window size
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FPS drops while using Anki on Win11
solution found here: https://github.com/rstudio/rstudio/issues/9367
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RStudio is painfully slow when connected to my company's VPN
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.
- How do I easily create a Flatpak from 2 sources?
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Fonts: cannot select installed font
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
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Updated RStudio to the latest version and I have an annoying problem with the file explorer
Next (2023.03) changelog - https://github.com/rstudio/rstudio/blob/main/version/news/NEWS-2023.03.0-cherry-blossom.md .
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After reinstalling RStudio, the dark mode is not working properly anymore. Do you have any tips on how I can fix it?
for example in this post they have dark menus aswell
ML-Workspace
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[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
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Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
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Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
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[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
What are some alternatives?
JupyterLab - JupyterLab computational environment.
Code-Server - VS Code in the browser
Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
vscode-R - R Extension for Visual Studio Code
keytotext - Keywords to Sentences
Eclipse Che - Kubernetes based Cloud Development Environments for Enterprise Teams
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
Hakatime - Wakatime server implementation & analytics dashboard
ICEcoder - Browser code editor awesomeness
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)