benchmarks
libuv
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benchmarks | libuv | |
---|---|---|
40 | 75 | |
2,730 | 23,065 | |
- | 1.3% | |
7.2 | 9.1 | |
2 months ago | 7 days ago | |
Makefile | C | |
MIT License | MIT License |
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.
benchmarks
- Building a high performance JSON parser
- Twitter (re)Releases Recommendation Algorithm on GitHub
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
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Why does Scala seem to be slow at benchmark results?
Nowadays, I reached out for some benchmark results. Scala is slower than Java and Kotlin. Can you explain it? https://github.com/losvedir/transit-lang-cmp https://github.com/kostya/benchmarks
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New, fastest JSON library for C++20
https://github.com/kostya/benchmarks is the current ratings. Should be an easy PR to them too.
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What things would be awkward to do in a hypothetical "strict" Haskell variant, that are now not awkward to do?
I don't think that rule will get you to 1.5-2x of C speed though. This benchmark is the only one I could find that has both PyPy and C and it seems to still be around 5-35x.
They are at least trying to avoid measuring JIT compilation times. I don't know how effective that is, but I trust somebody would have complained if it wasn't fair.
libuv
- Epoll: The API that powers the modern internet (2022)
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APIs in Go with Huma 2.0
I wound up on a different team with pre-existing Python code so temporarily shelved my use of Go for a bit, and we used Sanic (an async Python framework built on top of the excellent uvloop & libuv that also powers Node.js) to build some APIs for live channel management & operations. We hand-wrote our OpenAPI and used it to generate documentation and a CLI, which was an improvement over what was there (or not) before. Other teams used the OpenAPI document to generate SDKs to interact with our service.
- Python Is Easy. Go Is Simple. Simple = Easy
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Notes: Advanced Node.js Concepts by Stephen Grider
In the source code of the Node.js opensource project, lib folder contains JavaScript code, mostly wrappers over C++ and function definitions. On the contrary, src folder contains C++ implementations of the functions, which pulls dependencies from the V8 project, the libuv project, the zlib project, the llhttp project, and many more - which are all placed at the deps folder.
- A Magia do Event Loop
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What is Node.js?: A Complete Guide
Node.js is written in C, C++, and JavaScript. The core components of Node.js - the V8 engine and the libuv library - are written in C++ and C, respectively, since these languages provide low-level access to system resources, making them well-suited for building high-performance and efficient applications. JavaScript is mainly used to write the application logic.
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Using Parallel Processing in Node.js and its Limitations
Well, the single-threaded nature ultimately leads to its biggest downfall. Node.js utilizes a synchronous event loop engineered using Libuv that takes in code from the call stack and executes it.
- io_uring support for libuv – 8x increase in throughput
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7 Tips to Build Scalable Node.js Applications
Node.js executes JavaScript code in a single-threaded model. However, Node.js can function as a multithreaded framework by utilizing the libuv C library to create hidden threads (see the event loop) which handle I/O operations, and network requests asynchronously. But, CPU-intensive tasks such as image or video processing can block the event loop and prevent subsequent requests from executing, increasing the application's latency.
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Use io_uring for network I/O
Hat's off for posting this 2 hours after it dropped!
I've been tracking the nest of issues with anticipation! This wasn't linked to https://github.com/libuv/libuv/pull/1947 when it posted, so I didn't see it. Very glad you linked it, thanks!
What are some alternatives?
libevent - Event notification library
Boost.Asio - Asio C++ Library
libev - Full-featured high-performance event loop loosely modelled after libevent
tokio-uring - An io_uring backed runtime for Rust
uvw - Header-only, event based, tiny and easy to use libuv wrapper in modern C++ - now available as also shared/static library!
C++ Actor Framework - An Open Source Implementation of the Actor Model in C++
asyncio - asyncio is a c++20 library to write concurrent code using the async/await syntax.
librespot - Open Source Spotify client library
Dasynq - Thread-safe cross-platform event loop library in C++
liburing
alteza - 📔 Super-flexible Static Site Generator
rotor - Event loop friendly C++ actor micro-framework, supervisable