ipetkov/rust-async-examples — explained in plain English
Analysis updated 2026-07-09 · repo last pushed 2018-12-02
Browse and compare different Rust async libraries before picking one for your own project.
Learn how to write concurrent code in Rust by studying runnable examples.
Understand the trade-offs between different approaches to parallel work in Rust.
| ipetkov/rust-async-examples | bakome-hub/bakome-crypto-quant-engine | caspermeijn/nmea-test-messages | |
|---|---|---|---|
| Stars | — | 0 | — |
| Language | Rust | Rust | Rust |
| Last pushed | 2018-12-02 | — | 2024-09-16 |
| Maintenance | Dormant | — | Stale |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 3/5 | 1/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Rust-async-examples is a learning project that shows several different ways to run tasks concurrently in the Rust programming language. It is not a product or tool you would ship to users. Instead, it is a collection of code samples designed to help developers understand the various approaches to parallel and asynchronous work in Rust. At a high level, doing work "in parallel" means breaking a big job into smaller pieces that can all run at the same time instead of waiting for each piece to finish one by one. This project demonstrates several community-built libraries (called "crates" in the Rust world) that make this easier. The repository includes a simple test program you can run to see each method in action, though the author notes the setup is contrived and not meant for serious performance benchmarking. The primary audience is developers learning Rust who want to understand their options for concurrent programming. Rust is known for being fast and safe, but its approach to parallelism can feel unfamiliar to people coming from other languages. Someone who knows basic Rust but is building their first data-processing pipeline or background-task system might browse these examples to see how different libraries compare before choosing one for their own project. The main thing to note is that this is purely an educational reference. The author is upfront that you should not read too much into the relative speed of each approach, because the test harness is not rigorous. If you need a deep dive into the performance tradeoffs between these libraries, you would need to look elsewhere. What you get here is a straightforward look at the code patterns themselves.
A collection of Rust code samples showing different ways to run tasks concurrently, meant for developers learning how parallel and asynchronous programming works in Rust.
Mainly Rust. The stack also includes Rust.
Dormant — no commits in 2+ years (last push 2018-12-02).
The explanation does not mention a license, so the licensing terms are unknown.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.