awesome-python-typing VS Programming-Language-Benchmark

Compare awesome-python-typing vs Programming-Language-Benchmark and see what are their differences.

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awesome-python-typing Programming-Language-Benchmark
2 5
1,577 -
2.4% -
4.3 -
17 days ago -
Creative Commons Attribution Share Alike 4.0 -
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.

awesome-python-typing

Posts with mentions or reviews of awesome-python-typing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-12.

Programming-Language-Benchmark

Posts with mentions or reviews of Programming-Language-Benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-17.
  • Rust vs Zig Benchmarks
    6 projects | news.ycombinator.com | 17 Jun 2023
  • Ask HN: What are some of the most elegant codebases in your favorite language?
    37 projects | news.ycombinator.com | 17 Jun 2023
    I found Zig implementation of json parsing is interesting. The code is free from hidden control flow !.

    https://github.com/hanabi1224/Programming-Language-Benchmark...

  • Nim vs Rust Benchmarks
    10 projects | news.ycombinator.com | 7 Feb 2022
    It appears helloworld is the only test with any repeats, and it only has 5 repeats. https://github.com/hanabi1224/Programming-Language-Benchmark...

    Here's the measurement code, it appears to be significantly more complicated than a simple fork/exec/wait loop but that could just be all the C# getting in the way: https://github.com/hanabi1224/Programming-Language-Benchmark... Nevertheless you are probably right that the bulk of this 1.8ms is in the executable under test, and it truly is just bloat. Running `hyperfine ./empty-main-function` from rustc on my Mac gives 0.8ms.

  • Which programming language or compiler is faster
    7 projects | news.ycombinator.com | 18 Dec 2021
    Is faster... on code that has been optimized to hell and back 5 times over and no longer resembles anything like normal code written in the language.

    Seriously, this is the code for the top program. I'm reasonably sure 99% of C++ programmers could not decipher it without spending significant amounts of time on google: https://github.com/hanabi1224/Programming-Language-Benchmark...

    I appreciate that fair benchmarks across languages are a hard problem, but this is not a good solution to it. Any reference to this data as a comparison between "programming languages and compilers" needs to come with a giant disclaimer that it's comparing them at something you almost certainly don't use them for, and is very far from their main use case.

    I also appreciate that this is a repetitive comment the likes of which always come up when this benchmark is mentioned... but I really don't see another way to avoid people misinterpreting it. Very few people are going to spontaneously click through to the code.

What are some alternatives?

When comparing awesome-python-typing and Programming-Language-Benchmark you can also consider the following projects:

black - The uncompromising Python code formatter

Programming-Language-Benchmarks - Yet another implementation of computer language benchmarks game

isort - A Python utility / library to sort imports.

rosettaboy - A gameboy emulator in several different languages

yapf - A formatter for Python files

matrixmultiply - General matrix multiplication of f32 and f64 matrices in Rust. Supports matrices with general strides.

typeforce - Make mypy more effective

cosmopolitan - build-once run-anywhere c library

awesome-asyncio - A curated list of awesome Python asyncio frameworks, libraries, software and resources

weave - A state-of-the-art multithreading runtime: message-passing based, fast, scalable, ultra-low overhead

desktop - Focus on what matters instead of fighting with Git.