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Active Learning Toolbox

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PlanBilled and limitsPrice
Active Learning ToolboxNo pricing or usage limits statedFree

As github.com lists them, read 14 Nov 2026. The maker's own page has the final word.

Facts from Active Learning Toolbox's own pages

Academic use
The README provides a citation for academic use and names a 2017 conference paper. · github.com, 14 Nov 2026
Annotation examples
The README links to examples for MNIST and 20 Newsgroups annotation. · github.com, 14 Nov 2026
Docker example
The README describes running example notebooks with Docker and opening the local Jupyter IDE. · github.com, 14 Nov 2026
Installation
The repository instructs users to install the library and widget from GitHub using pip. · github.com, 14 Nov 2026
Integration
The project says it has tight integration with the LibAct Python library. · github.com, 14 Nov 2026
Jupyter setup
Jupyter widgets need to be installed and enabled separately according to the README. · github.com, 14 Nov 2026
License
The repository identifies its license as MIT. · github.com, 14 Nov 2026
Package maturity
The repository states that Python versions earlier than 3.6 have not been tested. · github.com, 14 Nov 2026
Purpose
The repository provides active-learning query strategies, utilities, and a Jupyter dataset-annotation widget. · github.com, 14 Nov 2026
Requirements
The listed requirements include Python 3.6, NumPy, pandas, scikit-learn, SciPy, Pillow, Jupyter, and a LibAct fork. · github.com, 14 Nov 2026
Support
The opened repository page does not state a support service or support response commitment. · github.com, 14 Nov 2026
Workflow
Its described workflow has experts label selected examples, train a classifier, and add further selected examples to its training set. · github.com, 14 Nov 2026

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