ASReview

ASReview is an open-source tool that uses machine learning to support systematic reviews in research. It employs a semi-supervised learning approach to help researchers quickly identify relevant studies from large datasets. ASReview can be used to screen bibliographic databases, abstracts, and full texts, making it particularly useful for researchers in the social sciences, health sciences, and other fields where systematic reviews are common. For example, a researcher could use ASReview to screen thousands of papers to find those relevant to a specific meta-analysis. ASReview is best suited for researchers who need to conduct systematic reviews and want to leverage machine learning to enhance their screening process.

ASReview is best for researchers conducting systematic reviews. It sits in the Research category and is a free option.

ASReview is listed as free. Check the official website for current, detailed pricing tiers.

ASReview scored 7.7 out of 10 in 2026, based on six weighted metrics: usefulness, quality, ease of use, value, reliability, and popularity.

ASReview is a solid, well-rounded option for researchers conducting systematic reviews. Its 7.7/10 score reflects dependable performance in the Research category.