Side by side
KEEL vs MLJAR Studio
Both stand on data science platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxMacWindows
KEEL brings data preparation, experiment design, and statistical comparison into one research- and education-oriented suite. Users should account for its Java runtime requirement and the age of the listed release 3.0 download.
Visit KEEL Free plan LinuxMacSelf-hosted+1
MLJAR Studio combines AI-assisted analysis, experiment management, and Python notebooks, with local processing as the default. Check the Free tier's public-app limit and the data handling implications of configured AI providers.
Visit MLJAR StudioThe facts
| KEEL | MLJAR Studio | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Mac, Windows | Linux, Mac, Self-hosted, Windows |
| Lowest paid plan | Free or on request | Pro: $20 a month |
| Plans published | 1 | 4 |
| Maker | Not published | Not published |
| Website | sci2s.ugr.es | mljar.com |
| On data science platforms | #11 of 32 | #7 of 32 |
KEEL: what it does well
- Covers regression, classification, clustering, and pattern mining.
- Lists 518 algorithms.
- Includes parametric and nonparametric comparison tests.
- Converts CSV, ARFF, and plain text datasets.
- Open source under GPLv3.
What to know first
- Requires a Java Virtual Machine.
- The listed binary is release 3.0 dated 2018-04-09.
- Experiments are generated for offline execution.
MLJAR Studio: what it does well
- Keeps generated Python code visible and editable
- Works with CSV, Excel, Parquet, and SQL databases
- Processes data locally by default
- Can publish Mercury apps on your infrastructure
What to know first
- Free tier has one public Mercury web app and no private apps
- External AI providers may receive prompts and context
- Perpetual license includes one year of updates
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