modelbox
rust-magic-function-params
| modelbox | rust-magic-function-params | |
|---|---|---|
| 1 | 10 | |
| 12 | 497 | |
| - | - | |
| 1.3 | 10.0 | |
| about 1 year ago | 5 months ago | |
| Rust | Rust | |
| Apache License 2.0 | - |
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modelbox
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Using Rust at a Startup: A Cautionary Tale
I am building modelbox right now - https://github.com/tensorland/modelbox I began building this in Rust while also learning the language. It became quickly very complex as I started introducing streams in async traits. I think in a few years things will get a lot better as more people use Rust for building web services, but I had to go back to Go to be more productive and ship this thing out. I loved how the compiler was forcing me to think harder about life times and such.
rust-magic-function-params
- GitHub - alexpusch/rust-magic-function-params: Example for Axum style magic function parameter passing
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What's the coolest Rust project you've seen that made you go, 'Wow, I didn't know Rust could do that!'?
Yes! https://github.com/alexpusch/rust-magic-function-params
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Function that takes in any function as a parameter?
An approach similar to https://github.com/alexpusch/rust-magic-function-params can be used here. Basically, define a trait and implement it on FnOnce(A) -> R, then do function.trait_method(args).
- Axum-style magic function params demystified
- How does Bevy engine manage to be so "loose" with function signatures?
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Parenthesis around argument name
I don't know what it is called but this helped me understand how they worked a little bit. https://github.com/alexpusch/rust-magic-function-params
- Rust state management pattern (like Tauri, Axum & Bevy)
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Using Rust at a Startup: A Cautionary Tale
I've written a few backend APIs with rust and I have to disagree. Not only have the frameworks managed to get the ergonomics similar to your popular GC lang[0][1], the natural lack of shared mutable state of HTTP handlers means you very rarely have to encounter lifetimes and a lot of the language's advanced features. What's more, now when I go back to work with other languages, I can't help but notice the significant number of unit tests I'd not have had to write in Rust. It doesn't have a Rails and Django but it's an easy pick over anything at the language level.
A note on performance, Rust's the only langauge where I haven't had the need to update my unit test harnesses to `TRUNCATE` data base data instead of creating a separate db per test on PostgresSQL.
I'll also like to mention the gem that is SQLx[1]. As someone who's never been satisfied with ORMs, type checked SQL queries that auto-populate your custom types is revolutionary. With the error-prone langauge-SQL boundary covered, I was surprised just how good it can get making use of the builtin PostgreSQL features. Almost to the point that amount of effort the community's put to building great tools like Prisma.js and feel like a fool's errand (at least so for PosgreSQL).
[0]: https://github.com/alexpusch/rust-magic-function-params
[1]: https://github.com/juhaku/utoipa
[3]: lib.rs/crates/sqlx
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better way to this `async fn get_blogs(Extension(pool): Extension<PgPool>` - Newbie Question
I saw this recently. Besides that, take a look at some Axum examples particularly at Extensions and Extractors.
- Axums magical handler methods amazed me when I first encountered them. I created a simple example for this pattern with detailed explanation
What are some alternatives?
bastionlab - A simple framework for privacy-friendly data science collaboration
strata - A modular, dynamic and sleek Wayland compositor with batteries included. [Moved to: https://github.com/StrataWM/stratawm]
atlas - Manage your database schema as code
bevy_aseprite
too-many-lists - Learn Rust by writing Entirely Too Many linked lists
structopt - Parse command line arguments by defining a struct.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
utoipa - Simple, Fast, Code first and Compile time generated OpenAPI documentation for Rust
go - The Go programming language