Side by side
MLJAR AutoML vs Prophet
Both stand on predictive analytics software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxMacSelf-hosted+2
MLJAR AutoML combines configurable training modes with tabular model workflows and experiment reporting. Its task scope and variable reports are worth considering before choosing it.
Visit MLJAR AutoML Free plan LinuxMacSelf-hosted+1
Prophet offers forecasting tools for seasonal time series, with options for regressors, holidays, and forecast evaluation. Its maintenance mode and Windows compiler requirements are important considerations before adopting it.
Visit ProphetThe facts
| MLJAR AutoML | Prophet | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Mac, Self-hosted, Web, Windows | Linux, Mac, Self-hosted, Windows |
| Lowest paid plan | Pro: $20 a month | Free or on request |
| Plans published | 5 | 1 |
| Maker | Not published | Not published |
| Website | mljar.com | facebook.github.io |
| On predictive analytics software | #7 of 37 | #11 of 37 |
MLJAR AutoML: what it does well
- MIT-licensed Python package costs nothing.
- Four training modes offer configurable workflows.
- Experiment summaries are available in Markdown and JSON.
- Mercury apps support single and batch CSV predictions.
What to know first
- Designed for supervised tabular tasks.
- Reports and explanations depend on task and settings.
- Privacy policy advises against unauthorized sensitive or regulated data in AI features.
Prophet: what it does well
- Models multiple seasonal cycles and holiday effects.
- Adjustable parameters allow domain knowledge to be added.
- Documentation includes uncertainty intervals and cross-validation.
- Free, MIT-licensed R and Python implementations.
What to know first
- No new features are planned in maintenance mode.
- Python use requires version 3.7 or later.
- Windows setup requires a compiler.
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