burn
SpacetimeDB
burn | SpacetimeDB | |
---|---|---|
9 | 14 | |
7,384 | 4,147 | |
4.2% | 2.8% | |
9.8 | 9.8 | |
5 days ago | 4 days ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
burn
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3 years of fulltime Rust game development, and why we're leaving Rust behind
You can use libtorch directly via `tch-rs`, and at present I'm porting over to Burn (see https://burn.dev) which appears incredibly promising. My impression is it's in a good place, if of course not close to the ecosystem of Python/C++. At very least I've gotten my nn models training and running without too much difficulty. (I'm moving to Burn for the thread safety - their `Tensor` impl is `Sync` - libtorch doesn't have such a guarantee.)
Burn has Candle as one of its backends, which I understand is also quite popular.
- Burn: Deep Learning Framework built using Rust
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Transitioning From PyTorch to Burn
[package] name = "resnet_burn" version = "0.1.0" edition = "2021" [dependencies] burn = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11", features = ["ndarray"] } burn-import = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11" } image = { version = "0.24.7", features = ["png", "jpeg"] }
- Burn Deep Learning Framework Release 0.12.0 Improved API and PyTorch Integration
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Supercharge Web AI Model Testing: WebGPU, WebGL, and Headless Chrome
Great!
For Burn project, we have WebGPU example and I was looking into how we could add automated tests in the browser. Now it seems possible.
Here is the image classification example if you'd like to check out:
https://github.com/tracel-ai/burn/tree/main/examples/image-c...
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Burn Deep Learning Framework 0.11.0 Released: Just-in-Time Automatic Kernel Fusion & Founding Announcement
Full Release Note: https://github.com/tracel-ai/burn/releases/tag/v0.11.0
- Burn Deep Learning Framework v0.11.0 Released: Just-in-Time Kernel Fusion
- Burn – comprehensive dynamic Deep Learning Framework built using Rust
- Burn: Deep Learning Framework in Rust
SpacetimeDB
- Why SQLite Uses Bytecode
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3 years of fulltime Rust game development, and why we're leaving Rust behind
I don't use Rust for game dev but I do for low level libraries and find it easier than C++ to get started. I have enjoyed it more than Java and like it for different reasons than Go, but it feels good to program in.
As for the design patterns that a complex game requires, if you are considering Rust for game dev and ecs design patterns it might be useful to check out projects that are Rust centric like https://spacetimedb.com/.
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What if an SQL Statement Returned a Database?
Yeah, I worked on https://tablam.org and https://spacetimedb.com.
It becomes pretty clear that `order` is a significant property to make useful (and performant!) programs. "Duplicates" is also required to make usefull programs.
One nonobvious reason for this: You wanna report that a `customer` has a duplicated key `1`. If you CAN'T model `[(customer.id = 1), (customer.id = 1)]` then you can't report errors! And `erroneous` data is VITAL to make useful programs because then the only possibility is "perfect" data, and that is not possible!
Another reason is that we want to `count` duplicates, to see `duplicates`, and other NON-obvious at first: "What is a duplicate?". Get fun with floats, Unicode, combining case and non-case sensitive input... and is obvious that for useful programs IS REQUIRED to support bags in an extended version of the relational model.
And yet...
IS very important to remember about `set semantics` and try to adhere to it when makes sense. Your query planner will like it. You "valid" constraints like it. And `unique index` like it. And so on...
- SpacetimeDB v0.7 Released: WebAssembly stored procedure database
- SpacetimeDB v0.7 Released: WebAssembly stored procedure database written in Rust
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SQLite 3.43.0 Released
> I asked was about querying data without ever using a SQL language, like tapping directly into the data.
I agree (making https://tablam.org to try a fix & working on https://github.com/clockworklabs/SpacetimeDB in the SQL conformance).
Before I think SQL was bad. *Now I'm certain*. SQL is absurdly massive for things that could have collapse all the features 10x or more.
However, working in an RDBM now I also understand why is not desirable to make "raw" calls to the DB: The engine MUST mediate all the calls to make things works (from query optimization, execution, iteration, lock management, transaction management, etc).
Is incredible how much sophistication is in a simple `SELECT * FROM table`.
What I wish is to build a `Wasm-like` IR so that is what anybody target, and `SQL` is not the mediator.
- A new database written in Rust that replaces your server entirely
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Show HN: SpacetimeDB – The database that replaces your server
I wouldn't ordinarily chirp about this because it seems to be such a common typo/mistake but the fact you have a badge for it <https://github.com/clockworklabs/SpacetimeDB/blob/0f1fdf62d0...> as well as typoing it down in the license section <https://github.com/clockworklabs/SpacetimeDB/blob/0f1fdf62d0...> makes it worth pointing out in hopes of correction
The SPDX for BUsiness Source License is BUSL https://spdx.org/licenses/BUSL-1.1.html but the SPDX for Boost Source License is BSL https://spdx.org/licenses/BSL-1.0.html
Based on a search <https://shields.io/search?q=license> it seems you're using the custom badge syntax <https://shields.io/badges/static-badge> so you have influence over the correction
- SpacetimeDB: A new database written in Rust that replaces your server entirely
What are some alternatives?
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
pocketbase - Open Source realtime backend in 1 file
candle - Minimalist ML framework for Rust
anchor - ⚓ Solana Sealevel Framework
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
aptos-core - Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.
tch-rs - Rust bindings for the C++ api of PyTorch.
ink - Parity's ink! to write smart contracts.
rust-mlops-template - A work in progress to build out solutions in Rust for MLOPs
sui - Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language
llama2.rs - A fast llama2 decoder in pure Rust.
surrealdb - A scalable, distributed, collaborative, document-graph database, for the realtime web