Side by side
JADBio vs Orange Data Mining
Both stand on low-code machine learning platforms software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APISelf-hostedWeb
JADBio offers no-code predictive analysis for varied life-science data, with API and deployment choices alongside its web service. The free Basic plan has specific project, upload, storage, and export limits; Team pricing is listed annually.
Visit JADBio Free plan LinuxMacWindows
Orange offers visual analysis workflows, a broad model catalog, and add-ons for specialized tasks, while working locally and offline. Users who need Python-script export or R compatibility should note those limitations.
Visit Orange Data MiningThe facts
| JADBio | Orange Data Mining | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Self-hosted, Web | Linux, Mac, Windows |
| Lowest paid plan | See the plans | Free or on request |
| Plans published | 3 | 1 |
| Maker | Not published | Not published |
| Website | jadbio.com | orangedatamining.com |
| On low-code machine learning platforms software | #3 of 28 | #7 of 28 |
JADBio: what it does well
- Supports multiple omics data types and images
- Includes survival analysis and model interpretation
- Free Basic plan includes one model export
- REST API can automate workflows
- Business Pro lists on-premise delivery
What to know first
- Basic limits uploads to 50 MB
- Basic includes only three projects
- Team costs $2,199 a year, billed annually
- Business Pro pricing is custom
Orange Data Mining: what it does well
- Free software under GNU GPL 3.0 or later.
- Runs locally and can work offline.
- Visual workflows cover modeling and evaluation.
- Add-ons support time series and other specialized areas.
- Available for Linux, macOS, and Windows.
What to know first
- Cannot export workflows as Python scripts.
- Not compatible with R.
- SQL widget supports PostgreSQL and MSSQL only.
- Embedded widgets send data to a server for computation.
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