KReader VS mdownloader

Compare KReader vs mdownloader and see what are their differences.

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KReader mdownloader
2 2
6 9
- -
2.5 0.0
4 months ago almost 2 years ago
Python Python
- 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.

KReader

Posts with mentions or reviews of KReader. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-11.

mdownloader

Posts with mentions or reviews of mdownloader. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-29.

What are some alternatives?

When comparing KReader and mdownloader you can also consider the following projects:

mangadex-dl - Download manga from MangaDex.org

mangadex-downloader - A command-line tool to download manga from MangaDex, written in Python.

FeeDex - A MangaDex pull notification program made with Python for Windows 10 & 11

tachiyomi - Free and open source manga reader for Android.

manga-py - Universal manga downloader (for your offline reading) upd: Please, use this tool: https://github.com/mikf/gallery-dl

mangadex-mass-uploader - imagine making userscripts

MALSync - Integrates MyAnimeList/AniList/Kitsu/Simkl into various sites, with auto episode tracking.

mangadex-dl - A Python CLI program that lets you download manga from mangadex.org as PDF or as Images

TachiyomiSYPreview - A download host for TachiyomiSY Preview builds

mdapi - A quick and simple wrapper for interfacing with the Mangadex API from Python.

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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.
www.influxdata.com
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