mapping tools

#mapping #🌿 #lab #design #database

tier 1:

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

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

tier 2:

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

layer - geographic/demographic data only.

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

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

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