Active Learning Toolbox
6.0#4 in active learning toolsFree planFree planLinuxmacOSSelf-hostedWindows
VisitActive Learning Toolbox vs Prodigy
What both publish
| Fact | Active Learning Toolbox | Prodigy |
|---|---|---|
| Purpose | The repository provides active-learning query strategies, utilities, and a Jupyter dataset-annotation widget. | Prodigy is a downloadable developer tool for creating training and evaluation data for machine learning models. |
| Support | The opened repository page does not state a support service or support response commitment. | The Personal license includes community forum support; Company licenses include priority forum and email support. |
Active Learning Toolbox plans
- Active Learning ToolboxFree
Prodigy plans
- Personal$390, paid once
- Company$490, paid once
Pick Active Learning Toolbox if…
You want what its maker publishes above — check its page for the details.
Pick Prodigy if…
Prodigy suits developers building machine-learning data workflows, especially those who need local or air-gapped operation. Annotation tasks can be completed in the web app without programming, but the tool assumes basic Python and command-line familiarity.