
ASReview
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| Fact | ASReview | RobotReviewer |
|---|---|---|
| API | ASReview documentation includes a Python API, and the institutional page also mentions a REST API and CLI for automated workflows. | A REST API exposes the underlying models for integration into systematic-review software. |
| Documentation depth | The documentation covers user, server and technical guides, including authentication, command-line use, APIs and extension development. | The README includes Docker, manual installation, configuration, startup, API, testing, and troubleshooting instructions. |
| Integrations | The site describes compatibility with EndNote, PubMed, and other reference managers, and says RIS files can be imported and exported. | The self-hosted setup uses Grobid for document processing, RabbitMQ and Celery for worker processing, and SciBERT through bert-as-a-service. |
| License | The ASReview software repository is released under the Apache License 2.0. | RobotReviewer is open source under the GNU GPL version 3.0 license. |
| Purpose | ASReview uses AI-aided active learning to prioritize records for systematic review screening while keeping a human screener in the decision loop. | RobotReviewer automatically annotates clinical trial PDFs with PICO characteristics and likely bias assessments using the Cochrane Risk of Bias tool. |
ASReview is for screeners, information specialists, data scientists, developers, institutions, and students involved in systematic reviews. Its team screening and automation options may suit organizational workflows.
RobotReviewer suits people analyzing clinical trial reports who need PICO annotation, likely bias assessments, or synthesis across groups of reports. It may also suit teams able to manage its self-hosted setup requirements.