ASReview has extensive support for extensions. They can extend the functionality of ASReview LAB, and the Command Line Interface. There are officially supported extensions and community maintained extensions.

Looking to develop your own extension? See Create extensions for detailed instructions.


Most extensions are installable from PyPI (the same way ASReview LAB is installed) or GitHub. It is preferred to follow the installation instructions provided by the extension.

The following example shows the installation of ASReview Insights, an extension for plotting and computing metrics for simulations in ASReview.

pip install asreview-insights

Extension (only) published on Github can be installed directly from the repository. Replace {USER_NAME} and {REPO_NAME} by the corresponding values of the extension.

pip install git@github.com:{USER_NAME}/{REPO_NAME}.git

Supported Extensions

The following extensions are officially supported and maintained by the maintainers of ASReview LAB. They are extensively tested and integrate well with ASReview LAB.

  • ASReview Datatools
    • ASReview-datatools: Tool for describing, cleaning (input) data, and converting file formats via the command line.

  • ASReview Insights
    • ASReview-insights: Advanced insights to ASReview simulations like performance plots and metrics.

  • ASReview Wordcloud
  • ASReview Makita
    • ASReview-makita: ASReviews’ Makita (MAKe IT Automatic) is a workflow generator for simulation studies using the command line interface of ASReview LAB. Makita can be used to simplify your own research by enabling you to effortlessly generate the framework and code for your simulation study.

List of extensions for ASReview LAB

The List of extensions for ASReview LAB on the Discussion platform gives an overview of known extensions to ASReview LAB and other useful tools in the AI-aided systematic review pipeline. These extensions can extend the software with new models, subcommands, and datasets.