pyWhat VS fancy-regex

Compare pyWhat vs fancy-regex and see what are their differences.

pyWhat

🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙‍♀️ (by bee-san)

fancy-regex

Rust library for regular expressions using "fancy" features like look-around and backreferences (by fancy-regex)
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pyWhat fancy-regex
16 5
6,352 387
- 2.6%
0.0 7.9
6 months ago 3 months ago
Python Rust
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

pyWhat

Posts with mentions or reviews of pyWhat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-20.

fancy-regex

Posts with mentions or reviews of fancy-regex. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.
  • lemmeknow v0.7.0 is here with support for identifying bytes with help of regex crate!
    6 projects | /r/rust | 19 Oct 2022
    https://github.com/fancy-regex/fancy-regex/issues/84 it's still open issue
  • Debian Running on Rust Coreutils
    20 projects | news.ycombinator.com | 9 Mar 2021
    Ahh, very interesting, thanks for sharing! Do you have any thoughts around why that is? I presume that's due to Oniguruma supporting a much broader feature set and something like fancy-regexp's approach with mixing a backtracking VM and NFA implementation for simple queries would be needed for better perf? (I am aware you played a role in that) [1]

    I have been playing around with regex parsing through building parsers through parser combinators at runtime recently, no clue how it will perform in practice yet (structuring parser generators at runtime is challenging in general in low-level languages) but maybe that could pan out and lead to an interesting way to support broader sets of regex syntaxes like POSIX in a relatively straightforward and performant way.

    [1] https://github.com/fancy-regex/fancy-regex#theory

  • Fancy-Regex: A hybrid NFA and backtracking Regex library in Rust
    1 project | news.ycombinator.com | 11 Jan 2021
  • An additional non-backtracking RegExp engine
    2 projects | news.ycombinator.com | 11 Jan 2021
    Not an expert but fancy regex is a Rust library that uses a hybrid approach to detect whether a sub expression contains backtracking and delegates to the appropriate engine.

    https://github.com/fancy-regex/fancy-regex

What are some alternatives?

When comparing pyWhat and fancy-regex you can also consider the following projects:

arkime - Arkime is an open source, large scale, full packet capturing, indexing, and database system.

min-sized-rust - 🦀 How to minimize Rust binary size 📦

BruteShark - Network Analysis Tool

pomsky - A new, portable, regular expression language

chepy - Chepy is a python lib/cli equivalent of the awesome CyberChef tool.

just - 🤖 Just a command runner

TryHackMe - This is a repository containing TryHackMe Writeups in Somali language on various of rooms & challenges, including notes, files and solutions.

fab-rs - The fabulous, aspirationally Make-compatible, fabricator of files.

usaddress - :us: a python library for parsing unstructured United States address strings into address components

BSDCoreUtils - BSD coreutils is a port of many utilities from BSD to Linux and macOS.

dumpulator - An easy-to-use library for emulating memory dumps. Useful for malware analysis (config extraction, unpacking) and dynamic analysis in general (sandboxing).

regex - An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.