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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • 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.

  • prjtrellis

    Documenting the Lattice ECP5 bit-stream format.

  • baron

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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • pygments

    Python syntax highlighter (by dagwieers)

  • guppy3

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

  • pyusb

    Easy USB access for Python

  • Vulkan-ValidationLayers

    Vulkan Validation Layers (VVL)

  • 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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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