ASReview vs ReviQ
ASReview
asreview.nlReviQ
github.comSide by side
| Figure | ASReview | ReviQ |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 0 |
| Spec score · Systematic Review Software | 9.1 (#1) | 6.7 (#28) |
| Integrations | The site describes compatibility with EndNote, PubMed, and other reference managers, and says RIS files can be imported and exported. | Grey-literature retrieval can use SearchApi.io-backed search engines or arXiv’s API, and uses ScrapingBee to fetch and archive sources. |
| Intended users | The site presents ASReview for screeners, information specialists, data scientists, developers, institutions, and students. | The project describes its workflow for researchers conducting systematic or multivocal literature reviews, including reviews with up to five reviewers. |
| License | The ASReview software repository is released under the Apache License 2.0. | The repository lists the GNU General Public License v3. |
| Purpose | ASReview uses AI-aided active learning to prioritize records for systematic review screening while keeping a human screener in the decision loop. | ReviQ is a locally deployed workbench for systematic and multivocal literature reviews. |
| Screening | The site says ASReview can reduce the screening workload by up to 95%. | Title and abstract screening supports Include, Exclude, and Uncertain decisions, per-criterion rationale, conflict detection, Cohen’s κ with 95% CI, and PABAK. |
Plans
In their own words
ASReview
ASReview is a free, open-source tool that uses AI-aided active learning to prioritize records for systematic review screening, with a human making screening decisions. Its site says the approach can reduce screening workload by up to 95%. Users can simulate AI-aided review to compare models, while Crowdscreen supports parallel screening with access managed by administrators through a private login system. The described model families are ELAS-Ultra, ELAS-Heavy, and language-agnostic ELAS-L; ELAS-Heavy and ELAS-L require the Dory package. ASReview works with reference managers including EndNote and PubMed, and imports and exports CSV, RIS, and XLSX files. Documentation includes a Python API, while the institutional workflow also describes a REST API and CLI for automation. In a local setup, data stays on the user's computer; server deployments keep it in the organization's environment and follow its policies. Support includes documentation, tutorials, videos, community discussion, and organizational workshops and consultancy. ASReview LAB costs nothing with no licensing fees or subscriptions, though running hardware or a server may incur costs.