MetaScreener and metaanalyser

These are complements: MetaScreener efficiently filters large volumes of academic papers down to relevant candidates, while MetaAnalyser synthesizes the filtered results into a systematic review, forming a pipeline workflow where one tool's output naturally feeds into the other's input requirements.

MetaScreener
70
Verified
metaanalyser
30
Emerging
Maintenance 22/25
Adoption 10/25
Maturity 24/25
Community 14/25
Maintenance 0/25
Adoption 1/25
Maturity 16/25
Community 13/25
Stars: 1,304
Forks: 47
Downloads: —
Commits (30d): 226
Language: Python
License: Apache-2.0
Stars: 1
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m No Package No Dependents

About MetaScreener

ChaokunHong/MetaScreener

AI-powered tool for efficient abstract and PDF screening in systematic reviews.

This tool helps researchers, academics, and systematic review specialists quickly screen through large numbers of research papers for systematic reviews. You upload search results from databases like PubMed or Scopus, along with your review criteria (PICO/PEO/SPIDER), and it provides include/exclude decisions for each paper's title and abstract, complete with confidence scores. High-confidence decisions are automated, while uncertain cases are flagged for human review, significantly speeding up the screening process.

systematic-review literature-review research-screening evidence-synthesis academic-research

About metaanalyser

p-baleine/metaanalyser

This is an application that generates systematic reviews powered by GPT. It searches Google Scholar with a given query and generates a systematic review using the search results.

Related comparisons

MetaScreener and AIscreenR

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