rapier VS taichi

Ok, so this uses https://rapier.rs/ which is very cool

Rapier, alongside https://nalgebra.org/ (which it uses underneath) has seriously good documentation and some advanced features like cross-platform determinism (something made hard by the way floating point differs between platforms)

Code examples: see examples2d, examples3d-f64 and examples3d directories

What are the pros and cons compared to something like Rapier? When should one use Bevy XPBD instead of Rapier, or vice versa?

Still using Rust in a browser-based multiplayer party game I'm working on! I'm using Actix Web for the backend and rapier2d to handle my game's physics. I'm looking to make some more connections amongst the developer / gaming community through my game down the line.

I have noticed that Rapier 0.17 contains a RopeJoint struct, which constrains maximum distance between two dynamic bodies. It doesn't seem to have found its way into bevy_rapier3d yet so I haven't understood whether it supports (half of) my use case, and looking at the code (https://github.com/dimforge/rapier/blob/master/src/dynamics/joint/rope_joint.rs) I really cannot see how it is actually implemented and how I could extend it to also set a minimum distance, but this may be a place to start.

I was also frustrated with the kcc, so I opened a PR that fixes most of my issues: https://github.com/dimforge/rapier/pull/446

Likewise, see the js bindings of Rapier.

Maybe check out how Rapier does it. Rapier is likely the most advanced physics engine in Rust. (Though Embark Studios is doing some crazy stuff with ML physics.)

rapier

taichi – Productive, portable, and performant GPU programming in Python

ETH Zurich is using it for their physics sim courses, University of Utah is using it for simulations (SIGGRAPH 2022), OPPO (they make smart devices running Android), Kuaishou uses it for liquid and gas simulation on GPUs. Lots of GPU accelerated sim stuff.

https://www.taichi-lang.org/

https://www.researchgate.net/publication/337118128_Taichi_a_...

https://github.com/taichi-dev/taichi

Check our the realease note (https://github.com/taichi-dev/taichi/releases) for more improvements.

I've recently started using Taichi (https://taichi-lang.org/) for numerical codes and the fact it doesn't try to trick you into thinking it's numpy is a nice "feature". ;)

Taichi v1.4.0 is released! See what's new: - Taichi AOT, along with a native Taichi Runtime library: Native applications can now load compiled AOT modules and launch Taichi kernels without a Python interpreter. - Taichi ndarray: An array object that holds contiguous multi-dimensional data to allow easy data exchange with external libraries. - Dynamic index: Use variable indices whenever necessary on all backends without affecting the performance of those matrices with only constant indices. See deprecation and more improvements in the release note.

Oh, then if you're not already tied to any particular VFX software, I might as well recommend Taichi again.

It's an upgrade of a basic version. See changes to the source code here: https://github.com/taichi-dev/taichi/pull/6851