Kavita vs Manga-Tagger
A side-by-side comparison of two self-hosted e-books & media library options — licensing, setup difficulty, resource needs, and what each one replaces.
Kavita
Fast self-hosted digital library for all reading
VS
Manga-Tagger
Automated metadata tagging tool for manga archives
| Feature | Kavita | Manga-Tagger |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 93 · Excellent | 6 · At risk |
| Category | E-books & Media Library | E-books & Media Library |
| License | GPL-3.0 | MIT |
| Language | C# | Python |
| Setup difficulty | Easy | Medium |
| Min. RAM | 512 MB | 256 MB |
| Deployment | docker | docker |
| GitHub stars | ★ 11,728 | ★ 191 |
| First released | 2021 | 2019 |
| Replaces | Kindle, ComiXology | ComiXology |
What are Kavita and Manga-Tagger?
Kavita
Kavita is a fast, self-hosted digital library that handles e-books, comics, manga, and magazines with a polished reader. It targets readers with mixed digital collections. It is deployed via Docker.
- Handles books, comics and manga
- Fast polished web reader
- Collections and reading lists
- OPDS support
Manga-Tagger
Manga-Tagger is an automated tool that renames and embeds rich metadata into manga archive files. It pulls data from AniList and MyAnimeList so readers like Komga display accurate series information.
- Automatic manga metadata tagging
- File renaming
- AniList and MAL sources
- Reader-friendly output
Kavita vs Manga-Tagger: key differences
Kavita is written in C#, while Manga-Tagger is built with Python. Licensing differs — GPL-3.0 for Kavita versus MIT for Manga-Tagger. Manga-Tagger is the lighter option, starting around 256 MB of RAM against 512 MB for Kavita. Manga-Tagger is the more established project (first released 2019), while Kavita arrived in 2021. Kavita has the considerably larger community, at 11,728 GitHub stars versus 191.
Why pick each one
Choose Kavita if…
- Great mixed-media support
- Fast and modern
- Active development
Watch out for
- No metadata editing
- Library organization is folder-based
Choose Manga-Tagger if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Written in Python
- Tiny footprint — runs in 256 MB RAM
Watch out for
- Companion tool only
- Manga-specific
Frequently asked questions
Is Kavita or Manga-Tagger better?
Kavita is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Manga-Tagger if its specific feature set fits your needs better.
Are Kavita and Manga-Tagger free and open-source?
Yes. Kavita is licensed under GPL-3.0 and Manga-Tagger under MIT. Both can be self-hosted at no software cost.
Can I run Kavita and Manga-Tagger with Docker?
Kavita: yes. Manga-Tagger: yes.
Which is lighter on resources, Kavita or Manga-Tagger?
Manga-Tagger has the smaller minimum footprint at 256 MB of RAM, compared to about 512 MB for Kavita. Real-world usage depends on library size, user count, and enabled features.