asreview/asreview

Health v2 · maintenance only

Adoption not part of the score

1027 stars · 181 forks observed · 2026-10-08

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-07, confidence 0.9

ASReview LAB is an open-source machine learning application for interactive, AI-assisted screening of large textual datasets. It uses active learning to prioritize records during systematic reviews and meta-analyses, learning from user labeling decisions.

Use cases

• screen papers for a systematic review with active learning
• prioritize abstracts to label in a literature review
• run simulations to evaluate active learning models on labeled datasets
• speed up meta-analysis record screening with AI
• apply deep learning models to text triage tasks

When to choose

• you need to screen thousands of records for a systematic review or meta-analysis
• you want a validated, published active learning tool with a GUI
• you need reproducible simulation experiments for screening models

When to avoid

• you need general-purpose document classification outside literature screening
• you require a fully automated pipeline with no human labeling in the loop
• you need a lightweight CLI-only library for embedding into other software

Facets

application · maturity active

machine-learning nlp data-science education python cross-platform active-learning systematic-reviews text-classification screening elas natural-language-processing research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="asreview/asreview")