Announcing Lingua 1.0.0: The most accurate natural language detection library for Python, suitable for long and short text alike

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  1. lingua-py

    The most accurate natural language detection library for Python, suitable for short text and mixed-language text

  2. Judoscale

    Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

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  3. cld2

    Compact Language Detector 2

    Python is widely used in natural language processing, so there are a couple of comprehensive open source libraries for this task, such as Google's CLD 2 and CLD 3, langid and langdetect. Unfortunately, except for the last one they have two major drawbacks:

  4. cld3

    Python is widely used in natural language processing, so there are a couple of comprehensive open source libraries for this task, such as Google's CLD 2 and CLD 3, langid and langdetect. Unfortunately, except for the last one they have two major drawbacks:

  5. langid.py

    Stand-alone language identification system

    Python is widely used in natural language processing, so there are a couple of comprehensive open source libraries for this task, such as Google's CLD 2 and CLD 3, langid and langdetect. Unfortunately, except for the last one they have two major drawbacks:

  6. langdetect

    Port of Google's language-detection library to Python.

    Python is widely used in natural language processing, so there are a couple of comprehensive open source libraries for this task, such as Google's CLD 2 and CLD 3, langid and langdetect. Unfortunately, except for the last one they have two major drawbacks:

  7. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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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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the 2nd most popular programming language
based on number of references?