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Abstrackr vs LitFlow

Abstrackr

abstrackr.com

LitFlow

litflow.org

Side by side

FigureAbstrackrLitFlow
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Self-hosted—Yes
Plans published11
Spec score · Systematic Review Software8.0 (#9)7.8 (#21)
Spec score · AI Literature Review Software8.0 (#12)7.9 (#18)
PurposeAbstrackr is a citation-screening tool for systematic reviews.LitFlow is an AI-augmented systematic literature review workspace covering search, screening, extraction, synthesis, and reporting.

Plans

Abstrackr

  • FreeFree

Abstrackr pricing →

LitFlow

  • Academic useFree

LitFlow pricing →

In their own words

Abstrackr

Abstrackr is a free web tool for screening citations in systematic reviews. It supports solo work, blinded team screening, pilot rounds, and conflict resolution. After about 100 labels, machine learning ranks remaining citations by predicted relevance. A live PRISMA flow table records screening thresholds, resolved conflicts, exclusion reasons by tag, and analysis of the model’s stop point. Citations can be imported from PubMed, Scopus, or Embase, or uploaded as RIS and CSV files. The service deduplicates records by DOI and PMID and can merge remaining near-duplicates. Results export as CSV or RIS, with a full JSONL download for DuckDB queries. Blinding starts enabled, and changes are logged with user, reason, timestamp, and project snapshots. Member and Leader roles have no stated team-size limit, while reminders arrive 7, 4, and 1 day before deadlines. No installation is needed, and the site directs methodology questions to its community forum.

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LitFlow

LitFlow is an AI-augmented workspace for systematic literature reviews, covering search, screening, extraction, synthesis, and reporting. Search includes database queries, snowballing, and AI-generated synonyms. For each record, AI proposes per-criterion verdicts with confidence scores, explanations, and links to source passages, while researchers make the decisions. Custom extraction schemas can receive LLM pre-fill with source links, and a qualitative coding board supports thematic structure. Reports include PRISMA information, Cohen’s κ, and an audit trail in a publication-ready methods report. AI suggestions and human decisions are logged with timestamps, actors, and rationales. Users can bring keys for Gemini, Claude, OpenAI, or Mistral, or use open-source models hosted by the University of Münster. The closed alpha runs on University of Münster infrastructure in the EU under GDPR, with pseudonymised personal data in research outputs. Operated by the university’s LitFlow research project in Münster, it is free for academic use, requires maintainer approval, and has no commercial tier listed.

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