Pythonocc-nodes-for-Ryven VS codebase-visualizer-action

As a visual person (traditionally trained as a graphic artist), I've wanted this sort of thing for a long while, and I've been trying to use it for 3D.

Surprisingly, there are multiple specialized tools for this:

- https://www.blockscad3d.com --- an adaptation of Google's Blockly to OpenSCAD

- https://github.com/derkork/openscad-graph-editor --- wires and nodes, it has the advantage of exposing _all_ of OpenSCAD's commands (the above has a subset)

- https://github.com/Tanneguydv/Pythonocc-nodes-for-Ryven --- a module for using PythonOCC in Ryven --- when I finally succeeded, I found the language inscrutable, even when provided w/ quite nice examples (definitely a failing on my part, not that of the tool)

- https://github.com/graphscad/graphscad --- it took a long while for the source code for this to be made available, and for a while it had compatibility problems (why was "cube" redefined?) --- probably defunct for political reasons, it had some interesting ideas, in particular the ability to have custom icons for modules

- https://www.nodebox.net --- if memory serves I got hung up by not easily being able to do 3D, and when doing 2D having precision problems (or maybe that was Processing.org)

and I've been using these tools to make various things:

https://willadams.gitbook.io/design-into-3d/3d-project

(and maybe eventually I'll finish something)

The problem I've been running into is there doesn't seem to be an answer to the question:

"What does an algorithm look like?"

I recently had occasion to mention Herman Hesse's _The Glass Bead Game_ (also published as _Magister Ludi_) and I'll bring it up again --- what is a meaningful graphical representation of a program?

The Drakon folks argued that there should be one true path but that's not really communicative and I would note that if this was a simple thing it wouldn't be decades since I last saw a physical Flowcharting Template:

https://americanhistory.si.edu/collections/object-groups/flo...

(and it's pretty rare to even see a well-done electronic drawing of a flowchart since Visio made its splash and vanished into the bowels of Microsoft)

The main problem seems to be one of expressiveness not scaling up well, hence:

https://blueprintsfromhell.tumblr.com/

https://scriptsofanotherdimension.tumblr.com/

Presumably, one doesn't want to define modules/variables unnecessarily --- but the question becomes where is that boundary?

If you define too many, then you're back to the "wall of text" which one was trying to avoid (but wrapped up in nice boxes with some lines or shapes), and if one doesn't use them (well, look at the pretty/awful images in the links above).

Ideally, a well-coded visual program would have a pleasing aesthetic appearance which is expressive and communicates flow and function, and I've tried for that at:

https://willadams.gitbook.io/design-into-3d/programming

(though I wish that there was an easy way to export an SVG version of a program)

I believe that what is needed here is some graphical equivalent to Literate Programming: http://literateprogramming.com

Is there a nice GUI toolkit integration which would allow making a graphical application with this? I have an idea I want to try it which might be a good fit.

"What does an algorithm look like?"

I'm an intensely visual person, but have never found a visual programming system which scales well --- the problem is, past a certain level of complexity one has to use modules, which then devolves the visual representation down to just a bunch named blocks.

That said, I'm using BlockSCAD:

https://www.blockscad3d.com/community/projects/1421975

to work up designs which I'm then putting into other tools.

Looking at GraphSCAD:

http://graphscad.blogspot.com

and there's also Ryven and pythonocc which I managed to get installed:

https://ryven.org

https://github.com/Tanneguydv/Pythonocc-nodes-for-Ryven

but I'd really like to see a tool for this sort of thing which made G-code.

Nice post - treemaps are great!

My friend and I made a codebase visualisation tool (https://www.codeatlas.dev/gallery) that's based on Voronoi treemaps, maybe of interest as an illustration of the aesthetics with a non-rectangular layout!

We've opted for zooming through double-clicks as the main method of navigating the map, because in deep codebases, the individual cells quickly get too small to accurately target with the cursor as shown in the key-path label approach!

If anyone's interested, this is also available as a Github Action to generate the treemap during CI: https://github.com/codeatlasHQ/codebase-visualizer-action

If you find this type of codebase visualisation useful, you might want to checkout codeatlas.dev and its Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action). It doesn't animate the repo over time like gource (yet), but instead aims to give a beautiful interactive visual snapshot of a repo at a particular point in time. It also lets you zoom in on specific aspects like recent commit activity, programming language and hopefully in the future test coverage.

E.g. see here for a visualisation of the pytorch codebase we did a while ago: https://codeatlas.dev/gallery/pytorch/pytorch

(disclaimer: I'm the author)

If you think this is useful, you might also like codeatlas.dev and its Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action). It currently does not support per-contributor activity, but we put a lot of effort into making the diagrams beautiful to look at and the basic approach of using treemaps for visualisation seems very similar. In fact, could be cool to collaborate on this, DM me if interested!

https://codeatlas.dev

https://codeatlas.dev - codebase visualisation tool

Takes your git repo and generates a beautiful visual representation of the code. Sort of an alternative navigation tool (in addition to IDEs) for large codebases. Can also run it as part of CI with our Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action).

We made this because grokking complex software projects is really difficult and we've found that a visual overview of what's in a codebase can be quite helpful to get started.

E.g. checkout https://codeatlas.dev/gallery/kubernetes/kubernetes for the generated visualisation of the Kubernetes Github repo!

Currently making -10$/year to pay for the domain :D We slowed down active development after our initial attempts at dissemination didn't really go anywhere (bragging about side projects on the internet, ugh), but I'm still really keen on getting some feedback on whether this is actually useful to anyone else!

Note: The site works somewhat on mobile, but is much better on desktop!

Also, funny there's a post like this again, just like https://news.ycombinator.com/item?id=34531989 yesterday.

https://codeatlas.dev - codebase visualisation tool

It takes your git repo and generates a beautiful visual representation of the actual code that's in it. Sort of an alternative navigation tool (in addition to IDEs) for large codebases. You can run codeatlas as part of your CI with our Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action).

We made this because grokking complex software projects is really difficult and we've found that a visual overview of what's in a codebase can be quite helpful to get started.

E.g. checkout https://codeatlas.dev/gallery/kubernetes/kubernetes for the generated visualisation of the Kubernetes Github repo!

We slowed down active development after our initial attempts at dissemination didn't really go anywhere (bragging about side projects on the internet, ugh), but would still love feedback on whether this is possibly useful to anyone else!

Note: The site works somewhat on mobile, but is much better on desktop!

I've already mentioned this on the other thread (https://news.ycombinator.com/item?id=31569646), but my friend and I have been working on [https://www.codeatlas.dev](https://www.codeatlas.dev/) as a sideproject - it's a tool for creating pretty (2D!) visualisations of codebases, while providing additional insights via overlays (e.g. commit density, programming language or other results from static analysis like dead code/test coverage/etc.). For example here's the Kubernetes codebase visualised using codeatlas: [https://www.codeatlas.dev/repo/kubernetes/kubernetes](https:....

At the moment, codeatlas is just the static gallery, but we're only a few weekends away from releasing a Github action that deploys this diagram on github pages for your own repos - if you're interested, feel free to watch this repo: https://github.com/codeatlasHQ/codebase-visualizer-action

OP, how close is this to what you had in mind in your question?

My friend and I have been working on https://www.codeatlas.dev in our spare time, which is a tool that creates pretty (2D!) visualisations of codebases, while providing additional insights via overlays (e.g. commit density, programming language). For example here's the Kubernetes codebase visualised using codeatlas: https://www.codeatlas.dev/repo/kubernetes/kubernetes.

At the moment, codeatlas is only a static gallery, but we're currently about 1-2 weekends away from releasing a Github action that deploys this diagram on github pages for your own repos - if you're interested, feel free to watch this repo: https://github.com/codeatlasHQ/codebase-visualizer-action