fastlangid VS Cantonese

Compare fastlangid vs Cantonese and see what are their differences.

fastlangid

fastlangid, the only language identification package that support cantonese (zh-yue), simplified (zh-hans) and traditional chinese (zh-hant) (by currentslab)
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fastlangid Cantonese
1 7
35 1,139
- -
0.0 7.8
over 1 year ago 20 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

fastlangid

Posts with mentions or reviews of fastlangid. We have used some of these posts to build our list of alternatives and similar projects.

Cantonese

Posts with mentions or reviews of Cantonese. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing fastlangid and Cantonese you can also consider the following projects:

maigret - 🕵️‍♂️ Collect a dossier on a person by username from thousands of sites

hascal - The Hascal Programming Language Compiler and Standard Libraries

OpenCC - Conversion between Traditional and Simplified Chinese

rickroll-lang - The Rick Roll programming language is a rickroll based, process oriented, dynamic, strong, esoteric programming language. All of the keywords/statements are from Rick Astley's lyrics. Check our tutorial site, https://rick-lang.github.io/programming-language-explainer/

roc-id - Haskell implementation of the ROC National Identification Number (中華民國身分證號碼) standard.

asciidots - Esolang inspired by ASCII art

magnitude - A fast, efficient universal vector embedding utility package.

ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:

gensim - Topic Modelling for Humans

SeekWhence - A simple programming language built around mathematical sequences as a primitive. Originally created in 28 hours for LangJam 2.