automerge-rs VS rust-gpu

See also, Autosurgeon (with a 0.3.0 release today), which is a higher level API on top of Automerge for Rust:

I'm building a mobile app with a server backend, and I was looking for resources to build them in an offline-first way (since unlike on the browser, people expect to use apps offline, if they can, such as fitness or habit trackers).

I found the concept of conflict-free relational data types (CRDTS) interesting as it allows you to have fully offline experiences while also having a conflict-free syncing experience. I was looking for some good libraries and came across automerge [0] and yrs [1], but both had some rough APIs as they're primarily low-level Rust libraries that are wrapped by higher-level TypeScript APIs.

Autosurgeon wraps the low-level API of automerge to make it much more ergonomic, closer to the TypeScript experience, but in Rust of course. You can for example use `struct`s which autosurgeon will serialize and deserialize automatically, which is not present in base automerge, which focuses more on string keys and arbitrary values.

I am planning on using this together with Flutter and flutter_rust_bridge [2] in order to use this same Rust library everywhere. In this case, the server just becomes another (albeit more privileged) client.

[0] https://github.com/automerge/automerge-rs

[1] https://github.com/y-crdt/y-crdt

[2] https://github.com/fzyzcjy/flutter_rust_bridge

I found the concept of conflict-free relational data types (CRDTS) interesting as it allows you to have fully offline experiences while also having a conflict-free syncing experience. I was looking for some good libraries and came across automerge and yrs, but both had some rough APIs as they're primarily low-level libraries that are wrapped by TypeScript APIs.

Yes, the plan is to use PostgreSQL. I had a discussion with one of the devs in this ticket about the strategy for this.

In any case, my current plan is to use Automerge for the data handling itself (so I can easily do collaboration), but that crate doesn't handle on-disk storage. For this I need another solution, and a K/V store is well suited for this task.

15 years working in software, Rust has been my favourite language for the last 2. Recently completed a contract to prototype a distributed Tailscale-inspired VPN built on Ink and Switch's CRDT project automerge-rs.

Complex topic. There's a very easy-to-use CRDT library for Rust (automerge), while there isn't much support for operational transforms (although Aper is new to me, I have to check it out).

I've been watching automerge-rs like a hawk, because they seem to be the only CRDT implementation where you don't need a Mathematics master to understand how to use it. They've been working on a rewrite for the last two years, hopefully they'll do a new release soon.

https://github.com/automerge/automerge-rs

By the way despite that particular repo (@localfirst/state) last being touched 6 months ago, Herb Caudill definitely seems still active in this space (I believe he's been working on other parts of this more recently -- e.g. ideas about authentication), and I think automerge development itself is quite active right now leading up to a 1.0 release which seems fairly imminent, for which a lot of fundamental work has been done, also coordinating with automerge-rs.

Sounds cool, but this requires yet another language to learn[0]. As someone who only has limited knowledge in this space, could someone tell me how comparable is the compute functionality of rust-gpu[1], where I can just write rust?

[0] https://github.com/Hugobros3/shady#language-syntax

[1] https://github.com/EmbarkStudios/rust-gpu

I don't do anything related to data science, but I feel like doing it in Rust would be nice.

You get operator overloading, so you can have ergonomic matrix operations that are typed also. Processing data on the CPU is fast, and crates like https://github.com/EmbarkStudios/rust-gpu make it very ergonomic to leverage the GPU.

I like this library for creating typed coordinate spaces for graphics programming (https://github.com/servo/euclid), I imagine something similar could be done to create refined types for matrices so you don't do matrix multiplication matrices of invalid sizes

Do you mean rust-gpu?

And https://github.com/EmbarkStudios/rust-gpu/tree/main/examples with the wgpu runner (here it runs the compute shader)

I don't know how major they are considered, but Embark Studios is doing quite a bit of Rust in the open source space, most notably (IMO) rust-gpu and kajiya

The examples in the rust-gpu repository are a good place to start

There's another project that's similar that's being used by an actual game company: https://github.com/EmbarkStudios/rust-gpu

They see specific advantages here that would outweigh that negative. It's not my space (I play games, but know next to nothing about graphics programming), but there's at least one argument in the other direction.

Could this approach work for compute shaders (GPGPU) as well? So far, I think https://github.com/EmbarkStudios/rust-gpu is the state of the art in that area, but it adds a specific Rust compiler backend for generating SPIR-V rather than leaving that up to the driver. That seems more complicated than it needs to be... but maybe it has advantages too? Thoughts?

https://github.com/embarkstudios/rust-gpu Allows you to create shaders (kernals) in Rust.

Also Embark Studios (formers DICE people) is doing a lot of work with Rust, all open source like Rust GPU https://github.com/EmbarkStudios/rust-gpu