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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  • lingua-py

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

  • 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:

  • 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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  • 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:

  • 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:

  • 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:

  • 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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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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