gerbil
rayon
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gerbil | rayon | |
---|---|---|
17 | 67 | |
1,107 | 10,242 | |
4.4% | 2.9% | |
9.6 | 9.0 | |
6 days ago | 4 days ago | |
Scheme | Rust | |
GNU Lesser General Public License v3.0 only | 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.
gerbil
- Gerbil Scheme – A Lisp for the 21st Century
- Gerbil Scheme has a standalone httpd
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Gerbil v0.18.1 NimzoLarsen released
That's a strange one! Can you go to https://github.com/mighty-gerbils/gerbil/issues and post an issue outlining this with slightly more detail? What platform, C compiler, libc version etc.
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Gerbil Scheme v0.18.1 NimzoLarsen released
New in std library: an S3 client, an SMTP client, SSL for Postgres (enables Heroku support), better CLI support (including multicall binaries), and plenty of module updates. Plus a few minor bug fixes.
See Gerbil Scheme homepage https://cons.io
- Gerbil Scheme History
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Gerbil Benchmarks
Here is the discussion: https://github.com/mighty-gerbils/gerbil/discussions/1008
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Gerbil v0.18 Released
Gerbil Scheme < https://cons.io > just saw its release v0.18, with many usability and documentation upgrades, and a bunch of new functionality in the standard library. A "meta-dialect of Scheme with post-modern features", Gerbil layers a Racket-like module system (the best in the world by far) on top of Gambit Scheme (compiler that produces the fastest code), with lots of libraries as "batteries included" for production-level client/server code.
- Gerbil scheme releases v0.18 RC1
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Strong typing, a hill I'm willing to die on
I'm more into Scheme than CL, but am aware of Coalton. My current lisp is Gerbil: https://cons.io which already has a type annotation system and will be enhancing it for the next major release (v19).
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Not only Clojure – Chez Scheme: Lisp with native code speed
Another "post-modern" natively compiling Scheme is Gerbil Scheme [0]. It's seeing a lot of attention/enhancements lately, including some bounties to implement features.
[0]: https://cons.io
rayon
- Rayon: Data-race free parallelization of sequential computations in Rust
- Too Dangerous for C++
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Which application/problem would you choose for presenting Rust to newcomers in 1h30min?
Do some operations with .iter() then later use rayon to parallelize. So you can show how easy is to add a dependency and how easy is to parallelize.
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What Are The Rust Crates You Use In Almost Every Project That They Are Practically An Extension of The Standard Library?
rayon: Async CPU runtime for parallelism.
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Moving from Typescript and Langchain to Rust and Loops
In the quest for more efficient solutions, the ONNX runtime emerged as a beacon of performance. The decision to transition from Typescript to Rust was an unconventional yet pivotal one. Driven by Rust's robust parallel processing capabilities using Rayon and seamless integration with ONNX through the ort crate, Repo-Query unlocked a realm of unparalleled efficiency. The result? A transformation from sluggish processing to, I have to say it, blazing-fast performance.
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AreWeMegafactoryYet? I just breached simulating 1M buildings @ 60 fps (If I'm not recording, Ryzen 7 1700X 8 Core)
With a lot of rayon, blood, sweat and tears I finally managed to simulate a million buildings at 60fps :) Feel free to AMA, game is Combine And Conquer
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The Rust I Wanted Had No Future
(see https://github.com/rayon-rs/rayon/tree/master/src/iter/plumbing)
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Parallel event iterator?
I did some very basic testing with this crate : https://crates.io/crates/rayon and it seems to work :
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General Recommendations: Should I Use Tree-sitter as the AST for the LSP I am developing?
Sequentially, generating tree-sitter AST for each file and querying for the links of each file takes around 2.3 seconds. However, I randomly remembered this crate rayon, and I decided to test it. It ended up improving the performance (just by changing 2 lines of code) to 200-300ms by parallelizing the iterators and tree-sitter queries. MAJOR.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
What are some alternatives?
schemepunk - A batteries-included extended standard library for seven R7RS Scheme dialects.
crossbeam - Tools for concurrent programming in Rust
swi-mqtt-pack - MQTT pack for SWI-Prolog
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
rhombus-prototype - Brainstorming and draft proposals for Rhombus
RxRust - The Reactive Extensions for the Rust Programming Language
chez-exe - Chez Scheme self hosting executable
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
eastwood - Clojure lint tool
tokio-rayon - Mix async code with CPU-heavy thread pools using Tokio + Rayon
fib - Performance Benchmark of top Github languages
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.