PySdfScad
Water.css
PySdfScad | Water.css | |
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6 | 33 | |
16 | 8,184 | |
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10.0 | 0.0 | |
about 1 year ago | 3 months ago | |
OpenSCAD | CSS | |
- | MIT License |
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PySdfScad
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CAD Sketcher, free and open-source project bringing CAD like tools to Blender3d
> To clarify, can this method be used as a fully functional replacement to BREP for a mechanical (machine design) CAD system?
I think so, but there are some open problems. Also it depends on the senior people. Inigo Quilez is a world class expert in this domain, and for the most part we're copying his work, get him on board and you'll be golden.
Fundamentally it makes sense, BREP is about representing boundaries and you can definitely use SDFs to represent the area under a boundary (infinite SDFs are possible, although obviously you can't turn them in to a mesh). Enclose a volume with boundaries and you can mesh that out just fine. A bit different from CSG-based SDFs, but entirely plausible.
>what approach would you recommend?
If I was to do this I'd take the constraint solver from solvespace (same one used in this post) and start using it to generate SDFs. At that point you're already 80% of the way to your end goal.
I mean if I was personally to do this I'd start by making a system that implements everything openscad can do, try to get some funding going, and than add in a solvespace based workbench for doing 2D cad that you can import into an openscad-ish language. You can see my efforts here: https://github.com/traverseda/PySdfScad
That's tackling it from a different angle than BREP though. I think that openscad but better is a surprisingly viable thing though, especially if you use it to do things like generate the gears/screws/whatever you import into your BREP based CAD project. Use scriptable CAD as the underpinning for more advances CAD.
> How long would you estimate it would take for three full time senior developers to get a useful system out?
Well define "useful"? Honestly I think you can get 80% done in under a month. I built the first pysdfscad in a week or two and replicated 80% of openscad's features. Fogleman built the library I used for pysdfscad in under a month.
I'd expect something pretty good in under a year at that kind of rate. There would be some outstanding problems, like it would be a challenge to figure out how to apply a fillet/chamfer to an edge, but not an insurmountable challenge. Geometry import is another place where you're going to spend a lot of time/money but is very important.
So let's say two or three years with three very competent seniors working on it to get a pretty good CAD program, with a GUI.
- I created an openscad interpreter that supports chamfers and fillets
- Show HN: PySdfScad,an openSCAD interpretor using signed-distance-functions
- Show HN: PySdfScad, my early work on an openscad interpretor with fillets
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Ask HN: What would be your stack if you are building an MVP today?
Depends on exactly what I'm making, the answer is probably different if I'm making like a chat app or something more data centric.
For something really minimal, an internal tool, I'd probably use grist. Grist is a "no code" spreadsheet program that is open source and works on a relational database. I just threw together an inventory management system for my weekly dnd group in a few minutes, and I've shared it with the group. I find the relational mindset grist uses a lot easier to reason about than traditional spreadsheets.
The next level up would be django with htmx. Very minimal javascript, I might embed a javascript "applet" like a map into it if needed. This covers 99% of data driven apps.
If I wanted to build something like say discord I'd probably use a pretty similar stack for the MVP, but with server-sent-events (htmx with server sent events is nice) and web components for more complicated interactions. That's probably why I'm not in charge for building complicated single page webapps with a lot of interdependent state though. I maintain this approach should work but haven't had a real chance to test it in the wild.
If I'm writing CAD software I'm probably going with QT/python/(numpy/jax/compute-shaders/sympy/etc). Python might not be the fastest, but when you're accelerating it with one of those machine learning libraries it can be really powerful. I've actually been working on something CAD-ish using that stack here: https://github.com/traverseda/PySdfScad
That's probably roughly the same stack I'd use for things like computer vision, machine learning, etc. Ironically anything where performance is important I'd probably choose python over a compiled language.
Mind you the QT python documentation is really not great, for a really minimal MVP I might swap qt out for pyimgui which is amazing for rapid prototyping but is going to be a real pain to do things like syntax highlight a text editor or embed HTML content.
Embedded electronics? Probably micropython on an ESP32 for an MVP. A REPL on your microcontroller is really nice. Robotics I'd probably use buildroot to build a custom linux distro.
I don't have much experience with mobile development, so I'd probably end up using QT with python and pyqtdeploy, but that's not an approach I'd recommend anyone else follow. I'm keeping an eye on Tauri in that space, although I really wish they made it easier to bundle in things that aren't single page javascript web apps (like a python application).
So yeah, mostly I'd use python. Master of some trades, jack of a bunch of others, it's flexible and powerful enough that I feel happy to have specialized in it, even if deploying apps to end users can be finicky and annoying. I'd avoid the javascript ecosystem as much as possible, and where I'd have to use javascript I'd prefer to make self-contained web components.
- GitHub - traverseda/PySdfScad: Openscad interpretor written in python and using signed-distance-functions
Water.css
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Where Is Noether's Principle in Machine Learning?
Thank you!
In the beginning, I used kognise'z water.css [1], so most of the smart decisions (background/text color, margins, line spacing I think) probably come from there. Since then it's been some amount of little adjustments. The font is by Jean François Porchez, called Le Monde Livre Classic [2].
I draft in Obsidian [3] and build the site with a couple python scripts and KaTeX.
[1] https://watercss.kognise.dev/
[2] https://typofonderie.com/fr/fonts/le-monde-livre-classic
[3] https://obsidian.md/
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Ask HN: Experience Starting a Blog
Thank you!
I must give credit to Kognise though, the style is simply their formidable water.css layout. It saved me a lot of time and anguish when I was about to get my blog started.
https://watercss.kognise.dev/
- CSS for readability
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No CSS Club – because no JavaScript was not hardcore enough
https://watercss.kognise.dev/ I would argue classless css is the way to go, you just include a single css file, then write your html without touching any css anymore, all related tags in html are inherently css-ed for you. a nice trade off for me sometimes.
- Filenames and Pathnames in Shell: How to Do It Correctly
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Classless.css – Less Classes. Less Overhead
Like the previous submitter ( https://news.ycombinator.com/item?id=30885700 April 2022 ) I found clasless.css while investigating semantic html-oriented css libraries and this one stood out to me as having a good balance. I'm not ideologically opposed to using classes, but using them for every bit of styling seems off and I'd rather see good default styles for regular semantically structured html. For example, classless.css uses the "card" class for cards which don't have a clear analog in among standard html tags: https://developer.mozilla.org/en-US/docs/Web/HTML/Element
Other libraries:
Water.css: https://watercss.kognise.dev/
MVP.css: https://andybrewer.github.io/mvp/
Missing.css: https://missing.style/
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Ur Go-To on UI with Flask?
WaterCSS, very basic but good-looking UI in my opinion
- О заметках в markdown файлах
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Looks great on my machine
Slap this on it and you're good: https://github.com/kognise/water.css/
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Show HN: Neat, the Minimalist CSS Framework
- https://watercss.kognise.dev/ Small size (< 2kb)
What are some alternatives?
manifold - Geometry library for topological robustness
classless-css - A list of classless CSS themes/frameworks with screenshots
SolveSpace-Daily-Engineering - app4soft's engineering experiments in SolveSpace — FLOSS parametric 2D/3D CAD & CAE (.slvs files repository) Follow ➡ https://twitter.com/search?q=solvespace+from%3Aapp4soft
pico - Minimal CSS Framework for semantic HTML
supabase - The open source Firebase alternative.
Rust Language Server - Repository for the Rust Language Server (aka RLS)
deno - A modern runtime for JavaScript and TypeScript.
reagent - A minimalistic ClojureScript interface to React.js
jetstream - Tailwind scaffolding for the Laravel framework.
hyperscript - Create HyperText with JavaScript.
redwood - The App Framework for Startups
prism-themes - A wider selection of Prism themes