Active Learning Toolbox
The facts below are what the maker publishes about Active Learning Toolbox, checked and dated. Our editors have not written about it yet.
Plans and prices
From Active Learning Toolbox's own pricing page, checked 14 Nov 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Active Learning Toolbox | Free | No pricing or usage limits stated |
The facts
Each one read from Active Learning Toolbox's own pages, with the date it was checked.
What it does
- Academic use
- The README provides a citation for academic use and names a 2017 conference paper.checked 14 Nov 2026
- Annotation examples
- The README links to examples for MNIST and 20 Newsgroups annotation.checked 14 Nov 2026
- Docker example
- The README describes running example notebooks with Docker and opening the local Jupyter IDE.checked 14 Nov 2026
- Installation
- The repository instructs users to install the library and widget from GitHub using pip.checked 14 Nov 2026
- Integration
- The project says it has tight integration with the LibAct Python library.checked 14 Nov 2026
- Jupyter setup
- Jupyter widgets need to be installed and enabled separately according to the README.checked 14 Nov 2026
- License
- The repository identifies its license as MIT.checked 14 Nov 2026
- Package maturity
- The repository states that Python versions earlier than 3.6 have not been tested.checked 14 Nov 2026
- Purpose
- The repository provides active-learning query strategies, utilities, and a Jupyter dataset-annotation widget.checked 14 Nov 2026
- Requirements
- The listed requirements include Python 3.6, NumPy, pandas, scikit-learn, SciPy, Pillow, Jupyter, and a LibAct fork.checked 14 Nov 2026
- Support
- The opened repository page does not state a support service or support response commitment.checked 14 Nov 2026
- Workflow
- Its described workflow has experts label selected examples, train a classifier, and add further selected examples to its training set.checked 14 Nov 2026
