hyperscan
regex-benchmark
hyperscan | regex-benchmark | |
---|---|---|
25 | 9 | |
4,637 | 309 | |
0.5% | - | |
2.0 | 0.0 | |
5 months ago | 20 days ago | |
C++ | Dockerfile | |
GNU General Public License v3.0 or later | 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.
hyperscan
-
Ask HN: Regex on a File or Stream
Maybe some other PCRE-compatible implementation offers streaming. For instance, https://www.intel.com/content/www/us/en/developer/articles/t... says it has this feature, but of course given who it's from it may be tied to a single brand of CPU.
github seems to be https://github.com/intel/hyperscan
- Aho-Corasick Algorithm
-
Stop deploying web application firewalls
I think of WAFs as an extra safety net. Defense in depth.
The author complained about the performance cost of WAFs in general, but not all WAFs have be structured like ModSecurity. They could for example be based on something like https://github.com/intel/hyperscan and perf is at a very different level.
-
Be careful of the examples you use. They stick
Another example of old timey Unix code just breaking things in minor point releases. See https://abi-laboratory.pro/index.php?view=changelog&l=glibc&... and https://github.com/intel/hyperscan/issues/359.
- hypergrep: A new "fastest grep" to search directories recursively for a regex pattern
- Accelerating Regular Expressions with AVX-512 at 1.5 GB/s/core
-
GitHub push protection is free for all public repositories
It’s a bespoke scanning setup designed to deal with GitHub’s scale. Under the hood it’s using Intel’s hyperscan as the regex engine.
https://github.com/intel/hyperscan
-
RE2 VS hyperscan - a user suggested alternative
2 projects | 17 Mar 2023
Hyperscan is an Intel regular expression library.
-
hyperscan VS RE2 - a user suggested alternative
2 projects | 17 Mar 2023
-
Show HN: Unblob – extraction suite for 30+ file formats
We are using hyperscan [3] instead of grepping byte sequences with Python, which is orders of magnitudes faster. It can also handle 4Gb+ files because of this which binwalk cannot.
It's used for a year now in production and it's way more precise and faster than binwalk. We are getting less false-positives too, and even if unblob fails to extract everything, we still get meaningful information out of firmwares, where binwalk just failed with no output previously.
[1]: https://github.com/onekey-sec/unblob/blob/main/unblob/handle...
[2]: https://github.com/onekey-sec/unblob/blob/main/unblob/proces...
[3]: https://github.com/intel/hyperscan
regex-benchmark
-
Best regexp alternative for Go. Benchmarks. Plots.
Before we start comparing the aforementioned solutions, it is worth to show how bad things are with the standard regex library in Go. I found the project where the author compares the performance of standard regex engines of various languages. The point of this benchmark is to repeatedly run 3 regular expressions over a predefined text. Go came in 3rd place in this benchmark! From the end....
-
Rust vs. Go in 2023
* Let you clone a map without rehashing every key to a new seed. I generally measure at least 15x speedup from this alone, unlocking very useful design patterns like "clone a map and apply a few temporary updates for a one-off operation like validation or simulation" with no extra code complexity. Go gives you no better option than slowly rehashing the entire map.
And that's just hash maps. How about Go's regex engine being one of the slowest in the world while Rust's regex crate being one of the fastest:
https://github.com/mariomka/regex-benchmark#optimized
-
Regex for lazy developers
Languages Regex Benchmark
-
Elon is your new boss, time to refactor!
Java is still pretty bad compared to C# (not to mention Rust or Nim)
-
Lyra: Fast, in-memory, typo-tolerant, full-text search engine in TypeScript
https://github.com/mariomka/regex-benchmark
And the always interesting techempower Project, which leaves the implementation to participants of each round. https://www.techempower.com/benchmarks/#section=data-r21&tes...
Choose whatever category you wish there, js is faster in then go in almost all categories there.
Even though I said it before, I'm going to repeat myself as I expect you to ignore my previous message: the language doesn't make any implementation fast or slow. You can have a well performing search engine in go, and JS. The performance difference will most likely not be caused by the language with these two choices. And the same will apply with C/Rust. The language won't make the engine performant creating a maximally performant search engine is hard
-
i'd like you to meet regex-
Also, regex engines are not created equally, at all. One of the best writeups I've ever read is from the ripgrep blog. Burntsushi knows regex. There's also this benchmark site which illustrates how general language performance is an entirely different metric than regex performance. Don't assume those benchmarks will cover your particular use case, though--different regex engines might handle your particular situation differently.
-
Go performance from version 1.2 to 1.18
Interesting. Looking at this repo, they have
Rust -> Ruby -> Java -> Golang
https://github.com/mariomka/regex-benchmark
Though it appears the numbers are two years old or so, and only for 3 specific regexes.
-
Hajime can now get hardware information about your MC server, all from Minecraft itself!
id also be careful in claiming C++ std regex is faster than python, unless you actually have proof. there's a ton of information that in many cases its actually slower. https://github.com/mariomka/regex-benchmark. have you actually benchmarked your code? or was it just a naive assumption that because its C++ its just fast?
-
A Complete Course of the Raku programming language
It is a matter of personal preference.
I find that regular expressions and text-wrangling tasks are faster and easier in Perl than in other programming languages due to its accessible syntax and regular expression engine speed.
This article shows the regular expression syntax in several popular programming languages: https://cs.lmu.edu/~ray/notes/regex/
This GitHub repo gives some regex performance test benchmarks: https://github.com/mariomka/regex-benchmark Perl is pretty fast among the scripting languages that were benchmarked.
If you are familiar with C / C++, then learning Perl is relatively fast and easy: https://perldoc.perl.org/perlintro
What are some alternatives?
go - The Go programming language
regex - An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.
lunatic - Lunatic is an Erlang-inspired runtime for WebAssembly
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
Rusoto - AWS SDK for Rust
orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!
raku-course
RE2 - RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.
rakudo-appimage
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
tumblelog - A static tumblelog generator available as both a Perl and Python version