codebase-visualizer-action VS hist-prototype

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

I have 2 projects that I'm looking to eventually adapt into a database backend that's API compatible with RocksDB (with enhancements!). The first of which is a Extendible Hashing Implementation in Rust (it was my first attempt at Rust, so it's kinda messy): https://github.com/chiefnoah/MehDB

It achieves very promising performance for u64 sized types (which will eventually be an offset into a log).

The other is a similar concept using modified B+Trees that have subtrees for all writes to a record: https://github.com/chiefnoah/hist-prototype

This one is implemented in Python for fast iteration, as I realized I wasn't happy with how fast I could iterate with Rust. This one is, IMO, a more complete approach towards full historical query-capable systems. I'm slowly chipping away at it, though I haven't had progress lately. I spend no real money to host them, just the code, though I'm certain I've shortened the life of my NVMe drives due to writing and rewriting large files for testing.