5% of 666 Python repos had comma typo bugs (inc V8, TensorFlow and PyTorch)

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • tensorflow

    An Open Source Machine Learning Framework for Everyone

    Also all but 1 of the issues they found relates to test code, it seems people are a little less careful compared to functional code.

    Also in terms of mistakes codereviewdoctor twice linked to the same issue in their blog https://github.com/tensorflow/tensorflow/issues/53636 and raised the PR to the wrong project https://github.com/tensorflow/tensorflow/pull/53637 (I guess Tensorflow vendors Keras, easy mistake)

  • Pylint

    It's not just a linter that annoys you!

    Seems expected, as linters can't be sure when it's not intentional. Like this request to pylint:

    https://github.com/PyCQA/pylint/issues/1589

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • quickstep

    Quickstep project

  • Mono

    Mono open source ECMA CLI, C# and .NET implementation.

  • llvm-project

    The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

  • prjtrellis

    Documenting the Lattice ECP5 bit-stream format.

  • baron

    IDE allow you to refactor code, Baron allows you to write refactoring code.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • pygments

    Python syntax highlighter

  • guppy3

    guppy / heapy ported to Python3. It works for real!

  • pyusb

    Easy USB access for Python

  • Vulkan-ValidationLayers

    Vulkan Validation Layers

  • Keras

    Deep Learning for humans

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Same :P I'm actually responsible for one of these (https://github.com/pytorch/pytorch/issues/70607), but it's a typo in a list of tests to skip.

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