Side by side
MLJ.jl vs Phitter
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 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.jl Free plan Web
Phitter is focused on distribution fitting, with visual results and several goodness-of-fit measures. Its local browser calculation and Python package offer two ways to work with data, within the stated input and method scope.
Visit PhitterThe facts
| MLJ.jl | Phitter | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Web |
| Lowest paid plan | Not published | Free or on request |
| Plans published | None | 1 |
| Maker | Not published | Not published |
| Website | juliaml.ai | phitter.io |
| On statistical analysis software | #43 of 107 | #39 of 107 |
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
Phitter: what it does well
- Covers 87 continuous and discrete distributions.
- Reports multiple goodness-of-fit results.
- Supports TXT, CSV, XLSX, and public URLs.
- Fitting runs locally in the browser.
- Free plan requires no account and has no row limit.
What to know first
- Web application requires at least 20 numeric observations.
- Site uses analytics and external services.
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