VGT VS KantanManga

Compare VGT vs KantanManga and see what are their differences.

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VGT KantanManga
4 1
57 35
- -
4.7 5.3
11 months ago 4 months ago
JavaScript Swift
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

VGT

Posts with mentions or reviews of VGT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-27.

KantanManga

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

What are some alternatives?

When comparing VGT and KantanManga you can also consider the following projects:

deepl-translator - This module provides promised methods for translating text using DeepL Translator (https://www.deepl.com/translator) undocumented API.

manga-ocr - Optical character recognition for Japanese text, with the main focus being Japanese manga

Screen-Translator - An Electron.js-based desktop application for automatically translating on-screen text.

fugashi - A Cython MeCab wrapper for fast, pythonic Japanese tokenization and morphological analysis.

mokuro - Read Japanese manga inside browser with selectable text.

K-AVT - A tool for translating games through image analysis

rikaikun - rikaikun is a Chrome extension that helps you to read Japanese web pages by showing the reading and English definition of Japanese words when you hover over them.

Jotoba - A free online, multilang Japanese dictionary.

kuroshiro - Japanese language library for converting Japanese sentence to Hiragana, Katakana or Romaji with furigana and okurigana modes supported.