Side by side
gratia vs MLJ.jl
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxMacWindows
gratia adds plotting, diagnostics, intervals, and tidy outputs to mgcv GAM workflows. It is useful for tidyverse users, with support limits for certain smoothers and documentation still developing.
Visit gratia Free plan Linux
MLJ.jl brings model selection, composition, evaluation, and tuning into one Julia interface. Its broad model coverage and composable workflows suit users comfortable adding provider packages and working in Julia.
Visit MLJ.jlThe facts
| gratia | MLJ.jl | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Mac, Windows | Linux |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | gavinsimpson.github.io | juliaml.ai |
| On statistical analysis software | #41 of 106 | #45 of 106 |
gratia: what it does well
- Free MIT-licensed R package
- ggplot2 plots for GAM contributions
- Derivative and interval estimates
- Diagnostic plots for supported models
- CRAN, GitHub, and R Universe installation
What to know first
- mrf, sw, and sf smoothers unsupported
- Documentation is currently limited
- Parallel processing is experimental
MLJ.jl: what it does well
- Free under the MIT Expat License
- Supports more than 180 machine-learning models
- Pipelines and learning networks combine models
- Grid and RandomSearch support tuning
- Accepts several tabular data sources
What to know first
- Linux is the only listed platform
- Model packages generally require separate installation
- MLflow integration is under reassessment
- Serial CPU processing is the default
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