Top 8 R peer-reviewed Projects
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drake
An R-focused pipeline toolkit for reproducibility and high-performance computing (by ropensci)
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Kargo
Stop Scripting Promotions. Start Shipping with Kargo. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
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First, congrats on the release. I’ve looked at flox and devenv for nixifying our container builds. Our distribution of languages is about 40/30/20/10 of Python, F#, R and nodejs.
A dilemma I’m facing is that the win from nix in terms of faster builds and smaller images would be largely from python and R images (where the average size is often 1Gi or larger). However, the developers that use Python or R are less likely to “get” the point of Nix and might have a steeper learning curve than F# developers (where the builds are quite efficient).
That was the context, my question is, how’s the status with R and RStudio? I know there’s Rix[1] for managing R packages with Nix.
[1] https://github.com/ropensci/rix
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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