Abstrackr vs Moara

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.

Moara is a web-based AI research platform for literature reviews, supporting work from discovery through evidence synthesis. Researchers can search, organize, screen, and extract evidence in one workspace, then use its Agent to summarize papers, identify themes and gaps, compare findings, and answer research requests. It supports narrative and systematic reviews, including workflows aligned with PRISMA and Cochrane guidelines. Moara says its database contains more than 200 million scholarly papers across disciplines. Users can import PDFs, RIS, NBIB, TXT, or ZIP files and connect Zotero and LibKey. Teams can assign papers, share annotations, and follow review progress in real time. The Free plan allows up to 50 papers per review library. Core is $15/mo billed annually; Pro is $40/mo billed annually. Moara states that stored data is encrypted with AES-256 and data in transit with TLS 1.2 or higher, with internal access controls and role-based permissions. It says it does not sell personal data or use personal information for advertising.