Documents and notes decision
Litmaps
A small-team DIY can reproduce a usable seed-search + visualization + alerts workflow using public bibliographic APIs and open-source libs, but Litmaps' large proprietary index, production-scale infra, and brand reach are durable advantages you won't match; keep paying if you need coverage/scale.
Visit website↗$10/mo
$120/yr
Read off the official pricing page.
$100one-off80 h to build
$50/mo8 h/mo upkeep
On cash alone, building overtakes the subscription at 6 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Litmaps alternatives, with the arithmetic →
What a replacement has to do
- Ingest citation metadata, index citation graph, seed-based search, render interactive citation graph, monitor for new papers and send alerts, sync/import bibliographic library (Zotero).
What it still won’t have
- Proprietary indexed catalogue (270+ million papers) and its coverage/quality
- Scale and reliability of production search/index infrastructure
- Built-in Zotero one-click sync and polished UI refinements
- Institutional/team licensing and enterprise support
What remains hard
- Proprietary data
Search for articles in our catalogue of 270+ million papers.
- Brand trust
Used by 350,000+ researchers worldwide
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 6 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal self-hosted Literature-Map service using PostgreSQL + Neo4j (for citation graph), a Node.js/Express backend, and a React frontend with Cytoscape.js for graph visualization. Core features in scope: (1) ingest metadata and citation edges from OpenAlex/Semantic Scholar for a focused subgraph, (2) seed-paper search returning nearby citation graph and ranked results, (3) interactive map view with node detail and basic annotations, (4) save/load maps per user with simple JWT auth, (5) scheduled monitoring that emails users when new papers match saved maps, and (6) optional Zotero import via OAuth. Out of scope: building a 270M-paper global index, enterprise billing/SSO, advanced relevance ML models, and mobile apps. Include error handling, retries for API harvests, rate-limit backoff, and unit/integration tests for ingestion, search, and alerting.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score64
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 4
Every page the run actually retrieved.
- official productLitmaps | Your Literature Review Assistant
- official pricingLitmaps – Pricing
- official docsLitmaps – Features
- open sourceemonney/QuickApp
Integrity checks
What held up, and what did not.
