evcxr
rustc_codegen_cranelift
evcxr | rustc_codegen_cranelift | |
---|---|---|
75 | 44 | |
5,207 | 1,446 | |
1.4% | 2.4% | |
8.6 | 9.7 | |
16 days ago | 6 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
evcxr
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Scriptisto: "Shebang interpreter" that enables writing scripts in compiled langs
Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.
The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.
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Go: What We Got Right, What We Got Wrong
https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.
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The Hallucinated Rows Incident
The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:
- TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
- Exploring Options for Dynamic Code Changes in Rust without Recompilation (hot reloading)
- Go 1.21 will (likely) have a static toolchain on Linux
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What’s an actual use case for Rust
In theory you should be able to create Rust notebooks (Jupyter notebook) using evcxr so maybe some AI, data analysis, prototyping make sense if you aim for good performance in final application (protype in evcxr and use notebook as reference to implement final application in Rust for speed and safety).
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would you use rust for scripting?
You should check out evcxr
- Nannou – An open-source creative-coding framework for Rust
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Rust vs. Haskell
There is also implementations of rust REPLs, like the beautifully named evcxr.
rustc_codegen_cranelift
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Cranelift code generation comes to Rust
Windows is supported. See https://github.com/rust-lang/rustc_codegen_cranelift/issues/....
- What part of Rust compilation is the bottleneck?
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A Guide to Undefined Behavior in C and C++
> When this happens, it seems like it'll be possible to get the LLVM bits out of the bootstrap process and lead to a fully self-hosted Rust.
What do you mean by "when this happens"? GP's point is that this has already happened: the Cranelift backend is feature-complete from the perspective of the language [0], except for inline assembly and unwinding on panic. It was merged into the upstream compiler in 2020 [1], and a compiler built with only the Cranelift backend is perfectly capable of building another compiler. LLVM hasn't been a necessary component of the Rust compiler for quite some time.
[0] https://github.com/bjorn3/rustc_codegen_cranelift
[1] https://github.com/rust-lang/rust/pull/77975
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What are some stuff that Rust isn't good at?
Note that the Cranelift codegen will eventually become standard for debug builds to speed them up.
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Rust port of B3 from WebKit, LLVM-like backend
Maybe one day we'll have rustc b3 backend like what they did with Cranelift
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Any alternate Rust compilers?
Additionally, there is gcc codegen for rustc (https://github.com/rust-lang/rustc_codegen_gcc), which is not a compiler per se, but an alternative code generator, with more architectures supported and other nice things. It's also coming along, but there's still a lot of work to do there too. There's also Cranelift codegen (https://github.com/bjorn3/rustc_codegen_cranelift), which is designed to make debug builds faster, but this is not as exciting/useful as the other 2.
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Capsules, reactive state, and HSR: Perseus v0.4.0 goes stable!
For the instant reloading, that's in Sycamore, so you should speak to its devs, but as for the alternative compiler backend, it's not my project, but it uses Cranelift and works pretty well! See https://github.com/bjorn3/rustc_codegen_cranelift for details.
- Security Engineer looking for ways to see if any of my tasks could slowly be ported to Rust or should I just stick with Python.
- Rust is now officially supported on some Infineon microcontrollers! (more to come later this year)
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Improving Rust compile times to enable adoption of memory safety
The more immediate goal of "distribute the cranelift backend as a rustup component" has been making good progress and seems like it might happen relatively soon https://github.com/bjorn3/rustc_codegen_cranelift/milestone/...
What are some alternatives?
vscode-jupyter - VS Code Jupyter extension
wasmtime - A fast and secure runtime for WebAssembly
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
gccrs - GCC Front-End for Rust
jupyter-rust - a docker container for jupyter notebooks for rust
sccache - Sccache is a ccache-like tool. It is used as a compiler wrapper and avoids compilation when possible. Sccache has the capability to utilize caching in remote storage environments, including various cloud storage options, or alternatively, in local storage.
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
mrustc - Alternative rust compiler (re-implementation)
bincode - A binary encoder / decoder implementation in Rust.
cranelift-jit-demo - JIT compiler and runtime for a toy language, using Cranelift
cargo-script - Cargo script subcommand
tch-rs - Rust bindings for the C++ api of PyTorch.