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Top 17 Rust Performance Projects
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Project mention: Erlang: More Optimizations in the Compiler and JIT | news.ycombinator.com | 2023-04-19
This is interesting, thank you.
I really should learn from BEAM and the OTP and learn Erlang. I get the feeling it's super robust and reliable and low maintenance. I wrote a userspace multithreaded scheduler which distributes N lightweight threads to M kernel threads.
https://github.com/samsquire/preemptible-thread
I recently wrote a JIT compiler and got lazy compilation of machine code working and I'm nowhere near beginning optimisation
https://github.com/samsquire/compiler
How do you write robust software, that doesn't crash when something unexpected goes on?
I looked at sozo https://github.com/sozu-proxy/sozu
and I'm thinking how to create something that just stays up and running regardless.
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Project mention: What are some less popular but well-made crates you'd like others to know about? | /r/rust | 2023-01-08
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If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.
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Project mention: Adding runtime benchmarks to the Rust compiler benchmark suite | news.ycombinator.com | 2023-09-30
> what do people use to run benchmarks on CI?
Typically, you purchase/rent a server that does nothing but sequentially run queued benchmarks (and the size/performance of this server doesn't really matter, as long as the performance is consistent), then sends the report somewhere for hosting and processing. Of course, this could be triggered by something running in CI, and the CI job could wait for the results, if benchmarking is an important part of your workflow.
But CI and benchmarks really shouldn't be run on the same host.
> What does the rust project use?
It's not clear exactly where the Rust benchmark "perf-runner" is hosted, but here are the specifications of the machine at least: https://github.com/rust-lang/rustc-perf/blob/414230abc695bd7...
> What do other projects use?
Essentially what I described above, a dedicated machine that runs benchmarks. The Rust project seems to do it via GitHub comments (as I understand https://github.com/rust-lang/rustc-perf/tree/master/collecto...), others have API servers that respond to HTTP requests done from CI/chat, others have remote GUIs that triggers the runs. I don't think there is a single solution that everyone/most are using.
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I have a technical analysis library written for Python using Rust and PyO3 called ZenithTA. A typical Dataframe for a stock has four columns: open, high, low, and close. Currently, I am converting each of the rows into lists to pass into Rust. It would be way easier if the end user could just pass in the dataframe, and I could just manipulate it in Rust. Does anyone have any tips or advice for doing this?
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+1 and an `iai` adapter is in the works for Bencher: https://github.com/bencherdev/bencher/issues/82
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perf-ninja-rs
Rust port of dendibakh/perf-ninja - an online course where you can learn and master the skill of low-level performance analysis and tuning.
Project mention: Announcing `compact_str` version 0.7! A small string optimization for Rust | /r/rust | 2023-02-22For benchmarking I follow the guide at grahamking/perf-ninja-rs. They detail how to disable hyper threading, pin execution to a single core, and other things, so you can create an environment for the most accurate and repeatable testing.
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quadim
High-performance Quadtree image compression/stylization, 100+FPS on modern computers and avoiding ugly non-squares 💢
Project mention: Fast image quadtree stylization impl using Rust (>100FPS with multithreading) | news.ycombinator.com | 2023-05-12 -
I'm working on giving it some more functionality to goku
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java-2-times-faster-than-c
An inquiry into nondogmatic software development. An experiment showing double performance of the code running on JVM comparing to equivalent native C code.
As far as the absolute performance you have this sort of effect too. https://github.com/xemantic/java-2-times-faster-than-c
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findlargedir
quickly find all "blackhole" directories with a huge amount of filesystem entries in a flat structure
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tailcall
A high-performance GraphQL proxy, optimized for cloud-native environments, covering edge, middle, and service layers.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-09-30.
Rust Performance related posts
- Adding runtime benchmarks to the Rust compiler benchmark suite
- [rustc-perf] Runtime benchmarks got finally merged
- LinuxCon: Catch performance regressions in Rust
- Grasshopper – An Open Source Python Library for Load Testing
- New release of Goku!
- Ask HN: Was programming more interesting when memory usage was a concern?
- Can Rust's compile time match its runtime performance?
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Index
What are some of the best open-source Performance projects in Rust? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | sozu | 2,575 |
| 2 | woodpecker | 1,787 |
| 3 | moka | 997 |
| 4 | huak | 570 |
| 5 | goose | 564 |
| 6 | rustc-perf | 539 |
| 7 | binjs-ref | 421 |
| 8 | itoa | 250 |
| 9 | ZenithTA | 215 |
| 10 | bencher | 164 |
| 11 | perf-ninja-rs | 143 |
| 12 | quadim | 118 |
| 13 | goku | 94 |
| 14 | java-2-times-faster-than-c | 51 |
| 15 | findlargedir | 49 |
| 16 | tailcall | 35 |
| 17 | speed-tests | 27 |
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