Literature Review Made Easy with Visualization
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Updated
Apr 9, 2026 - JavaScript
Literature Review Made Easy with Visualization
A open source Literature Based Discovery system, using Groovy & Grails, including a re-implementation of the Arrowsmith algorithm(s)
A literature review, from the first search to the finished evidence table. For teams running a systematic review that has to be reproducible, and for students running a thesis search on the same machinery.
Can an AI model rediscover a known medical finding from old papers alone? A pre-registered test with Jev by TypeSafe.
Turns a research question into a graph of hypotheses, experiments, conditions and results, built by a coding agent from the papers. Every link carries a verbatim quote checked against the source text. Graphs for different questions are pooled and aligned to surface connections no single review was looking for. No API keys, no server.
Wayfinder — a hypothesis referee that says a confident no: receipt-backed literature-based discovery, tested against CD4+ T-cell Perturb-seq data and built in Claude Science. (Built with Claude: Life Sciences)
An open network that looks for research in one field that another field could use but has never cited, and measures how often it is right.
Tool for literature based discovery and research field analysis.
⛏️ evidence-traced agent protocols for rediscovering overlooked research — autopsies for sleeping-beauty papers, any harness
Axon — the Science Nervous System: relational infrastructure over the scientific literature. Relation as the unit; verification before discovery. Built on qhda-core.
A map of what humanity has not figured out yet.
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