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opensource
ASReview uses active learning techniques to support systematic literature review workflows.

About opensource
ASReview LAB is an open-source machine learning tool for screening large sets of text records. It is used for systematic reviews, meta-analyses, and other tasks that require systematic text screening. Users import datasets in formats such as CSV, RIS, and XLSX, then label records as relevant or not relevant. Its active learning models use those labeling decisions to prioritize the remaining records.
The tool also supports prior knowledge input, progress monitoring through a dashboard, and export of labeled datasets or project files. A simulation toolkit can assess model performance on fully labeled datasets. Version 3 adds automatic hiding of duplicate records during screening, with an option to include them on export. The software is licensed under Apache 2.0. Installation requires Python 3.10 or later.
Key features
- Active learning that prioritizes records based on the user's labeling decisions
- Pre-configured ELAS models or custom model components
- Simulation toolkit for assessing model performance on fully labeled datasets
- Automatic saving of labeling decisions, with labels editable at any time
- Dashboard for tracking screening progress and deciding when to stop
- Automatic hiding of records with duplicate titles and texts
- Open source under the Apache 2.0 license
- Described by its developers as scientifically validated and published in Nature Machine Intelligence
- All labeling decisions are saved automatically and can be changed later
- Requires Python 3.10 or later for the pip installation
- The development team accepts no responsibility or liability for use of the tool or any resulting damages
opensource at a glance
- Website
- github.com/asreview/asreview
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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opensource FAQ
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