Cytoscape.js VS turf

This could be probably done with https://js.cytoscape.org/ as well, so maybe look into that.

Maybe look into Cytoscape.js... There's a react wrapper component: https://github.com/plotly/react-cytoscapejs

The UI is almost entirely based on Cytoscape JS, which is one of the most use graph libraries out there (and for good reason, I've found it very good). The UI is similar to some other JavaScript libraries that deal with visualisation of network models, so it ends up being similar to most examples of Neo4j dashboards, D3, etc.

Relationship graphs are created using Cytoscape.js

I am playing with an app built around cytoscape.js for visualizing graphs. That means adding/removing nodes, responding to node events and so on.

Data source: DB of tutorials and tags. I created the skills map of collective knowledge shows a number of tutorials uploaded by users. It is illustrated the topics of user-generated content. Size of stars is a number of tutorials on the topic. The bigger the star — the more popular skill. The more connection a skill has — the more essential and versatile it is. After the login, this map becomes personalized for every user in accordance with the uploaded tutorials. All skills are combined into 6 specializations (science, sign, people, tech, art, business). Some topics are repeated in several specializations, for instance, "soft skills." Tool: Cytograph.js Layout: Cise layout Interactive version is here https://unschooler.me/skills

> Yeah, I know there's D3.js but that involved way more knowledge and learning than I was interested in.

Same, d3 looked very powerful but had a steep learning curve. I was looking for something simple to generate process trees in real time and ended up using cytoscape js [0], helped me have a working POC in an hour, highly recommended.

[0] https://js.cytoscape.org/

to measure distances and convert between our parameters I'm using TurfJS, for which binding is even more trivial:

Turf.js is an open-source geospatial analysis library that can process various location data, such as the center of gravity and distance calculations.

Isochrones are manually calculated using turf.js assuming 1.2m/s walking speed after the subway trip. These are simple buffers around each station/prior isochrone and do not take the street network into account.

Not to take away from you learning, which I think is awesome, I was wondering if you know about http://turfjs.org/ which provides a lot of simple modules … and is surprisingly hard to find. Their `distance` modules may be relevant in this case.

you can use client side libraries like Turfjs to do buffers https://github.com/Turfjs/turf/tree/master/packages/turf-buffer

Tools: custom Javascript (with heavy use of turf.js) for data processing and creating the 3D model, Blender, 3D printing, lost wax casting

I've integrated https://turfjs.org/ with mapbox before and it was pretty fun

References Amazon Location Service Turf.js MapLibre GL JS Leaflet OpenLayers Cesium Mapbox GL JS