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ReviQ

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What ReviQ is

ReviQ is a locally deployed workbench for researchers conducting systematic or multivocal literature reviews. It guides a project through eight phases, from setup and importing material to results. During title and abstract screening, reviewers can mark items Include, Exclude, or Uncertain, record rationale by criterion, and use conflict detection, Cohen’s κ with a 95% confidence interval, and PABAK. A project supports up to five reviewers, who can exchange decisions as JSON files and share grey-literature corpora through an interchange package. Results include a PRISMA 2020 flow diagram, publication charts, venue and taxonomy summaries, a PDF protocol report, BibTeX exports, and a replication package. ReviQ runs in Docker and stores data in a Docker volume on the user's machine; its ports bind to loopback by default. It has no authentication, so anyone who can reach its port can access projects and resolve conflicts. Optional grey-literature retrieval can use SearchApi.io-backed engines or arXiv, and ScrapingBee fetches and archives sources. Retrieval uses third-party API credits billed to the user, with no budget ceiling. ReviQ is free and licensed under GNU GPL v3.

Who it suits

ReviQ is intended for researchers conducting systematic or multivocal literature reviews who can run software in Docker. Its project workflow supports teams of up to five reviewers.

What it does well

  • Guides reviews through eight phases.
  • Screening supports rationale, conflict detection, κ, and PABAK.
  • Projects support up to five reviewers.
  • Exports include PRISMA 2020 diagrams and a replication package.
  • Data is stored in a local Docker volume.

What to know first

  • The software has no authentication.
  • Anyone able to reach its port can access projects.
  • Optional retrieval credits are billed to the user.
  • Retrieval has no budget ceiling.

Limits

A project supports up to five reviewers. Grey-literature retrieval spends third-party API credits billed to the user and has no budget ceiling; OCR and figure descriptions are disabled by default.

Getting started

  1. Install and run ReviQ with Docker
  2. Keep project data in the Docker volume on your machine
  3. Open the web interface through its bound port
  4. Create a review project and move through the eight phases
  5. Add up to five reviewers
  6. Optionally connect retrieval services or an Anthropic API key

Verdict

ReviQ provides a substantial review workflow and reporting package for locally deployed research projects. Before enabling network access or optional retrieval, account for its lack of authentication and uncapped third-party API credit use.

Questions

What does ReviQ cost?

ReviQ is free and identifies its license as GNU General Public License v3.

Who is ReviQ for?

It is intended for researchers conducting systematic or multivocal literature reviews.

How many reviewers can join a project?

Project setup supports up to five reviewers.

Where is ReviQ hosted and stored?

It runs in Docker and stores data in a Docker volume on the user's machine. Ports bind to loopback by default.

Does ReviQ have authentication?

No. Anyone able to reach its port can access projects and resolve conflicts.

What retrieval integrations are available?

Optional grey-literature retrieval can use SearchApi.io-backed search engines or arXiv, with ScrapingBee fetching and archiving sources.

Facts from ReviQ's own pages

Authentication limitation
The README states that ReviQ has no authentication, so anyone who can reach its port can access projects and resolve conflicts. · github.com, 3 Oct 2026
Collaboration
Reviewers can exchange decisions as JSON files, and grey-literature corpora can be shared through an interchange package. · github.com, 3 Oct 2026
Deployment and data
ReviQ runs in Docker, stores data in a local Docker volume, and binds its ports to loopback by default. · github.com, 3 Oct 2026
Deployment and storage
ReviQ runs in Docker and stores its data in a Docker volume on the user's machine. · github.com, 2 Oct 2026
Integrations
Grey-literature retrieval can use SearchApi.io-backed search engines or arXiv’s API, and uses ScrapingBee to fetch and archive sources. · github.com, 2 Oct 2026
Intended users
The project describes its workflow for researchers conducting systematic or multivocal literature reviews, including reviews with up to five reviewers. · github.com, 3 Oct 2026
License
The repository lists the GNU General Public License v3. · github.com, 3 Oct 2026
Optional features
OCR and figure descriptions are off by default; figure descriptions use an optional Anthropic API key. · github.com, 3 Oct 2026
Purpose
ReviQ is a locally deployed workbench for systematic and multivocal literature reviews. · github.com, 3 Oct 2026
Results and exports
Results include a PRISMA 2020 flow diagram, publication charts, a PDF protocol report, BibTeX exports, and a replication package. · github.com, 3 Oct 2026
Retrieval costs
SearchApi.io and ScrapingBee API keys are needed for the corresponding retrieval engines and fetching; their usage is billed to the user, and ReviQ has no budget ceiling for the tool. · github.com, 3 Oct 2026
Retrieval integrations
The optional grey-literature retrieval tool can use SearchApi.io-backed search engines or arXiv, and uses ScrapingBee to fetch and archive results. · github.com, 3 Oct 2026
Review capacity
A project setup supports up to five reviewers. · github.com, 2 Oct 2026
Review workflow
It supports eight phases, from project setup and importing references through screening, quality assessment, data extraction, and results. · github.com, 3 Oct 2026
Screening
Title and abstract screening supports Include, Exclude, and Uncertain decisions, per-criterion rationale, conflict detection, Cohen’s κ with 95% CI, and PABAK. · github.com, 2 Oct 2026
Screening statistics
Screening includes automatic conflict detection, Cohen’s κ with a 95% confidence interval, and PABAK. · github.com, 3 Oct 2026
Security limitation
ReviQ has no authentication; the README warns that anyone able to reach its ports can read projects and resolve conflicts. · github.com, 2 Oct 2026

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