mapping tools

tier 1:

atlas (nomic) (nomic AI), growth lab app (atlas of economic complexity, tensorflow's embedding projector, head start (open knowledge maps), juggl (in obsidian), kumu, softspace (in XR), contextdriven.ai.

not tested, but look promising: sigma.js, gephi & gephi lite, graphext, yworks...

proprietary:

• aerolito's 3 waves data-viz platform (+ its predecessor OLI]
• weforum's strategic intelligence maps (https://intelligence.weforum.org/topics/)
• scenario mapping: radiant by metaculus

enterprise:

• cluster mapping: cohere.ai (see: https://x.com/Saboo_Shubham_/status/1601250351121944576)

tier 2:

neo4J, d3.js, infranodus, metamaps (kumu-like), datasette

layer - geographic/demographic data only.

communities: https://twitter.com/icaviz, dataisbeautiful...

this isn't exactly mapping, but surfacing visuals/diagrams that explain any topic, a kind of visual search engine - globe engineer

initiatives such as https://twitter.com/_Matters_Global, focused on building a collaborative virtual problem map open for everyone interested in searching answers to humanity's big questions.

• check more on: tier 1 design/code

related:

mapping is different from map-making tools, which are often used for 2d/3d gaming/RPG purposes.

mapping approaches: omnimapping, wardley mapping, etc.