Side by side
hal9001 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
hal9001 provides a focused implementation of highly adaptive lasso regression in R. Its sparse basis construction, multiple input interfaces, and CRAN distribution suit users who can work within its R dependencies.
Visit hal9001 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
| hal9001 | 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 | tlverse.org | juliaml.ai |
| On statistical analysis software | #49 of 106 | #45 of 106 |
hal9001: what it does well
- Free GPL-3 package
- Builds sparse basis-function matrices
- Handles indicator-function predictor matrices
- Supports Linux, macOS, and Windows
- CRAN binaries and documentation available
What to know first
- Requires R 3.1.0 or later
- Requires Rcpp and imported packages
- Desktop package rather than a standalone application
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
Alternatives to hal9001 Alternatives to MLJ.jl The whole list