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HumansMap, Graph visualization of 3M+ Wikidata persons

HumansMap, Graph visualization of 3M+ Wikidata persons

by abstracthinker·Apr 7, 2026·4 points·2 comments

AI Analysis

●●SolidRabbit HoleEye Candy

Cytoscape.js graph traversal through 3M Wikidata entities with trivia mode.

Strengths
  • ArangoDB native graph traversal handles 3.4M nodes efficiently
  • Trivia game layer makes exploration genuinely engaging
  • Redis caching keeps frequent queries snappy
Weaknesses
  • Wikidata graph explorers already exist in various forms
  • Limited to EU, USA, CA entities despite Wikidata's global scope
Category
Target Audience

Data enthusiasts, journalists, researchers exploring public figure networks

Similar To

Wikidata Query Service · Kumu · Gephi

Post Description

Built this due to my passion to explore the connections between known people, now data includes entities from EU, USA and CA. There is also a Trivia game section that i built to know/explore new persons and discover facts. Best for desktop use. Tech stach used: - ArangoDB because its native for graph traversal, great for storing Wikidata format style - Backend API Python with FastAPI, well known and stable library - Frontend Vue 3 + Vite, fast and stable enough - Cytoscape.js, for graph visualization, traversal and animations - Redis for caching frequent people requests and game rounds Wikidata and Wikimedia commons are used as data source. Hope you find entertaining and fast exploring the graph, let me know if you have features, improvements or find bugs (there is also a report button in site "about" section). This webapp looks interesting to me, but I'm looking for ways to expand the types of connections shown.

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