| IRust | evcxr | |
|---|---|---|
| 3 | 75 | |
| 580 | 5,222 | |
| - | 1.7% | |
| 8.8 | 8.6 | |
| 7 days ago | 20 days ago | |
| Rust | Rust | |
| MIT License | 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.
IRust
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What are some stuff that Rust isn't good at?
irust?
- IRust: Cross Platform Rust REPL
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Val on Programming: What makes a good REPL?
Something I've been thinking a lot about for Rust is what can and should a REPL experience be for a compiled language (ie what are reasonable compromises).
There seem to be two repls that haven't gotten much traction:
- https://github.com/google/evcxr/blob/main/evcxr_repl/README....
- https://github.com/sigmaSd/IRust
There have been little and big nits that have held me back from wanting to push these further, including
- Bad defaults (having to opt-in to panic handling)
- Command syntax feeling out of place and likely not beginner friendly
- Limits on variable preservation
- Lack of introspection (at least irust as `:type`)
So far I've been punting on wanting to improve this area by instead focusing on polishing up a rust script solution in the hopes of getting it merged: https://github.com/epage/cargo-script-mvs
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.
What are some alternatives?
soli - Solidity REPL
vscode-jupyter - VS Code Jupyter extension
job-hunt-rust - A locally run and customisable recent job aggregator with in-memory datastore, query language (JHQL), and REPL.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
cargo-leptos - Build tool for Leptos (Rust)
jupyter-rust - a docker container for jupyter notebooks for rust
cargo-script-mvs - Pre-RFC for merging cargo-script into cargo
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
farolero - Thread-safe Common Lisp style conditions and restarts for Clojure(Script) and Babashka.
bincode - A binary encoder / decoder implementation in Rust.
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
cargo-script - Cargo script subcommand