PySdfScad
jetstream
PySdfScad | jetstream | |
---|---|---|
6 | 23 | |
16 | 3,885 | |
- | 0.4% | |
10.0 | 8.7 | |
about 1 year ago | 4 days ago | |
OpenSCAD | PHP | |
- | 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
jetstream
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Is using the repository pattern best practise?
For writing models I would suggest using Action Closes. One example of them can be found in Jetstream's sourcecode. Actions are great to test in isolation and link to user stories.
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Ask HN: What would be your stack if you are building an MVP today?
While I prefer python for everything else, I'd go with Laravel Jetstream[1] for an MVP, just like I did with the last one I had to build. It's laravel, you can use Vue (React or Svelte) for your views instead of the blade templating language that comes with the framework. Jetstream also comes with Auth, user login and subscription and other useful stuff.
And for the flavor, I'd just go with DaisyUI[2] again, since it's based on tailwindcss and it's what I've been using lately.
In my experience, I can build MVPs real fast with the stack described above.
[1] https://jetstream.laravel.com
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How to call api internally and is that a good idea to call like that?
A well-implemented example of this would be in Laravel Jetstream, where an Actions namespace is defined for performing user-oriented tasks in Laravel Fortify — such as updating the user profile.
- What auth scaffolding should be used with sanctum tokens
- Admin panel with basic html css js
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`npm run dev` not copying css or js files to public. Bug?
This legacy package is a very simple authentication scaffolding built on the Bootstrap CSS framework. While it continues to work with the latest version of Laravel, you should consider using Laravel Breeze for new projects. Or, for something more robust, consider Laravel Jetstream.
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Preventing User Enumeration Attack in Laravel Apps
Laravel provide us with robust solutions and starter kits for authentication so let's start by creating a new Laravel 9 project and install Jetstram
- Jetstream - Tailwind scaffolding for the Laravel framework.
- Jetstream – Tailwind scaffolding for the Laravel framework
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Moving an existing vanilla PHP website to Laravel/Vue, using packages for different components
In terms off bullet points you added, I've made something pretty similar using Laravel with : Laravel Jetstream(application starter kit with inertia + vue stack) https://jetstream.laravel.com/
What are some alternatives?
manifold - Geometry library for topological robustness
breeze - Minimal Laravel authentication scaffolding with Blade, Vue, or React + Tailwind.
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
jwt-auth - 🔐 JSON Web Token Authentication for Laravel & Lumen
supabase - The open source Firebase alternative.
django-unicorn - The magical reactive component framework for Django ✨
deno - A modern runtime for JavaScript and TypeScript.
Tailwind CSS - A utility-first CSS framework for rapid UI development.
redwood - The App Framework for Startups
livewire - A full-stack framework for Laravel that takes the pain out of building dynamic UIs.
wasp - The fastest way to develop full-stack web apps with React & Node.js.
sanctum - Laravel Sanctum provides a featherweight authentication system for SPAs and simple APIs.