t3 VS Magnit.NodeGraph

Your requirements are a bit ambiguous, but Tooll checks all those boxes. I used the previous version (Tooll2) but ended up switching to Blender.

https://github.com/tooll3/t3

Oh sweet! I was in the middle of building my own version of a node-graph component (ref: https://github.com/catapart/Magnit.NodeGraph), but the `canvas.js` implementation from this JsonCanvas repo is exactly what I was trying to build. I really, really like how elegantly uncomplex it is. Could not have been more exactly what I was looking for. So thanks for this!

As far as the spec, I don't really like the idea of forcing well-known types for the nodes. A generic spec should allow for entirely generic nodes that can represent themselves to consuming functions with a 'type' property as a key, as well as arbitrary data types linked to arbitrary nodes. For instance: one of my use cases is an 'addition' node, which would take two number values and produce a number value. This node would also use an entrance execution pin as well as an exit execution pin.

If the spec were to include a 'pin' data type and capture the type keys and labels for pins, those pins could be stored as a list on the node. Then, the type property could just tell the executing context how to route the node data and the pin properties would bring type safety to the functional inputs passed to the mapped function.

Anyway, I assume all of that is out of scope for initial offerings, but that's my two cents on a generalized node spec. Regardless, thanks again for the sweet, simplistic node graph implementation!

> If people don't intrinsically understand you, maybe you need to go in to more detail so your explanation isn't so abstract.

People did; you didn't.

> Ergo, vis-a-vi have you ever actually tried making a graph that is rearranging itself while you're using it?

No one said anything about "while you're using it". Linters don't fuck up your text as you type it. It's a utility like anything else. And, YES, I have built a working version of one. It doesn't use machine learning/tensors at all, and it's a fucking nightmare to develop. I can see exactly where those things would help me. It's too abstract, to you, to understand? That's a shame! But other people seem to get it, so if you are having trouble, maybe try approaching your ignorance with openness and curiosity instead of cynicism and trivialization ('uncross some lines').

If you want to know how much time I've spent working on node edge graphs, you wouldn't believe me. But I can at least point you to the start of the web-component version I'm porting: https://github.com/catapart/Magnit.NodeGraph

Shameless plug time! I've been working on something like this as a custom web component with no dependencies: https://github.com/catapart/Magnit.NodeGraph

Not the most feature rich - I'm developing it for a single project, so that's project's needs come first. But it's rudimentary enough to start from if you're looking to build your own, and it's simple enough to customize if it already does what you need.