criterion.rs
PyO3
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criterion.rs | PyO3 | |
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30 | 147 | |
4,153 | 10,997 | |
- | 4.4% | |
6.5 | 9.8 | |
13 days ago | 5 days ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
criterion.rs
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How to benchmark in Rust with libtest bench
The three popular options for benchmarking in Rust are: libtest bench, Criterion, and Iai.
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Divan: Fast and Simple Benchmarking for Rust
Holy crap. I was just writing a blog to complain about the state of Rust benchmarking and I think this might address most of my points. The biggest one is the ability to have benchmarks collocated within the library like tests which is the biggest annoyance.
It’s also nice to see that it can report multiple counters in parallel. I put up a similar feature[1] for criterion recently but I fear the project isn’t being maintained anymore…
Haven’t looked deeply into divan yet but the other requirements I have for criterion’s power is to run tests with statistical guarantees on the results, terminate quickly when statistical significance is reached (—quick), provide a comparison of the delta from a previous benchmark, and to run async code. Wonder how this stacks up.
[1] https://github.com/bheisler/criterion.rs/pull/722
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how expensive is an operation?
criterion for benchmarks,
- Autometrics 0.4: Spot commits that introduce errors or slow down your application
- Performance-related question
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How can I further optimize this file parser? (std, serde, diesel)
For an extra optimization, you might look into techniques like branchless code, turning array of structs into struct of arrays for better cache utilization/lowering branch mispredictions. There is many talks on YouTube how to actually measure and improve performance of native code. And for rust there is a criterion.rs for benchmarking.
- making a virtual machine in rust
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How much does Rust's bounds checking cost?
https://github.com/bheisler/criterion.rs is good for tests like that. It will give you much more than a single number and handle things like outliers. This makes identifying noisy tests simpler.
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Tips in using criterion to properly benchmark a database?
I have tried many ways but I think is not possible. I put it on https://github.com/bheisler/criterion.rs/issues/631.
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Rust 1.64 Became 10-20% Faster On Windows
Criterion is still the gold standard.
Pros for Criterion over the stdlib: https://github.com/bheisler/criterion.rs#features
Downsides of Criterion: https://bheisler.github.io/criterion.rs/book/user_guide/know...
PyO3
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Encapsulation in Rust and Python
Integrating Rust into Python, Edward Wright, 2021-04-12 Examples for making rustpython run actual python code Calling Rust from Python using PyO3 Writing Python inside your Rust code — Part 1, 2020-04-17 RustPython, RustPython Rust for Python developers: Using Rust to optimize your Python code PyO3 (Rust bindings for Python) Musing About Pythonic Design Patterns In Rust, Teddy Rendahl, 2023-07-14
- Rust Bindings for the Python Interpreter
- Polars – A bird's eye view of Polars
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In Rust for Python: A Match from Heaven
This story unfolds as a captivating journey where the agile Flounder, representing the Python programming language, navigates the vast seas of coding under the wise guidance of Sebastian, symbolizing Rust. Central to their adventure are three powerful tridents: cargo, PyO3, and maturin.
- Segunda linguagem
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Calling Rust from Python
I would not recommend FFI + ctypes. Maintaining the bindings is tedious and error-prone. Also, Rust FFI/unsafe can be tricky even for experienced Rust devs.
Instead PyO3 [1] lets you "write a native Python module in Rust", and it works great. A much better choice IMO.
[1] https://github.com/PyO3/pyo3
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Python 3.12
Same w/ Rust and Python, this is really neat because now each thread could have a GIL without doing exactly what you said. The pyO3 commit to allow subinterpreters was merged 21 days ago, so this might "just work" today: https://github.com/PyO3/pyo3/pull/3446
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Removing Garbage Collection from the Rust Language (2013)
I expected someone to write a rust-based scripting language which tightly integrated with rust itself.
In reality, it seems like the python developers and toolchain are embracing rust enough to reduce the benefits to a new alternative.
https://github.com/PyO3/pyo3
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Bytewax: Stream processing library built using Python and Rust
Hey HN! I am one of the people working on Bytewax. Bytewax came out of our experience working with ML infrastructure at GitHub. We wanted to use Python because we could move fast, the team was very fluent in it, and the rest of our tooling was Python-native already. We didn't want to introduce JVM-based solutions into our stack because of the lack of experience and the friction we had trying to get Python-centric tooling working with existing solutions like Flink.
In our research, we found Timely Dataflow (https://timelydataflow.github.io/timely-dataflow/, https://news.ycombinator.com/item?id=24837031) and the Naiad project (https://www.microsoft.com/en-us/research/project/naiad/) as well as PyO3 (https://github.com/PyO3/pyo3) and we thought we found a match made in heaven :). Bytewax leverages both of these projects and builds on them to provide a clean API (at least we think so) and table stakes features like connectors, state recovery, and cloud-native scaling. It has been really cool to learn about the dataflow computation model, Rust, and how to wrangle the GIL with Rust and Python :P.
Would love to get your feedback :).
`pip install bytewax` to get started. We have a page of guides (https://www.bytewax.io/guides) with ready-to-run examples.
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Tell HN: Rust Is the Superglue
You can practice your Rust skills by writing performant and/or gluey extensions for higher-level language such as NodeJS (checkout napi-rs) and Python or complementing JS in the browser if you target Webassembly.
For instance, checkout Llama-node https://github.com/Atome-FE/llama-node for an involved Rust-based NodeJS extension. Python has PyO3, a Rust-Python extension toolset: https://github.com/PyO3/pyo3.
They can help you leverage your Rust for writing cool new stuff.
What are some alternatives?
hyperfine - A command-line benchmarking tool
rust-cpython - Rust <-> Python bindings
sqlglot - Python SQL Parser and Transpiler
pybind11 - Seamless operability between C++11 and Python
glassbench - A micro-benchmark framework to use with cargo bench
RustPython - A Python Interpreter written in Rust
sccache - Sccache is a ccache-like tool. It is used as a compiler wrapper and avoids compilation when possible. Sccache has the capability to utilize caching in remote storage environments, including various cloud storage options, or alternatively, in local storage.
milksnake - A setuptools/wheel/cffi extension to embed a binary data in wheels
tracing - Application level tracing for Rust.
bincode - A binary encoder / decoder implementation in Rust.
tungstenite-rs - Lightweight stream-based WebSocket implementation for Rust.
uniffi-rs - a multi-language bindings generator for rust