Kavita vs Calibre-Web vs Komga: Which Ebook Server?

Quick Verdict

Kavita is the best all-rounder — fast scanning, great manga/comic reading, plus solid ebook support. Calibre-Web is best for ebook-heavy libraries with Calibre desktop integration, OPDS feeds, and send-to-Kindle. Komga is best for comics and manga specifically, with excellent metadata management and third-party reader integration.

Overview

Kavita is a fast, self-hosted digital library for manga, comics, ebooks, and light novels. It has a modern web reader, reading progress sync, OPDS-PS (page streaming), and metadata scraping. Written in .NET with an Angular frontend.

Calibre-Web is a web interface for Calibre ebook libraries. It provides a beautiful browsing experience, web reading for EPUBs, OPDS feeds for mobile apps, and send-to-email functionality. It requires a Calibre database as its backend.

Komga is a media server specifically for comics and manga. It excels at metadata management, has a built-in web reader, provides OPDS feeds, and integrates deeply with third-party readers like Tachiyomi/Mihon. Written in Kotlin/Spring Boot.

Feature Comparison

FeatureKavitaCalibre-WebKomga
Ebook reading (EPUB)Good web readerExcellent web readerBasic
Comic/manga readingExcellentBasic (CBR/CBZ only)Excellent
PDF readingYesYes (viewer)Yes
Light novel supportYesYesLimited
Send to email/KindleNoYesNo
OPDS feedYes (OPDS-PS)Yes (OPDS)Yes (OPDS)
Calibre integrationNo (file-based)Required (uses Calibre DB)No (file-based)
Metadata scrapingYes (online sources)Manual or CalibreYes (ComicVine, etc.)
Series trackingYes (automatic)ManualYes (automatic)
Reading progress syncYes (per-page)Yes (per-book)Yes (per-page)
Multi-userYes (with restrictions)Yes (with shelves)Yes (with libraries)
Age restrictionsYesNoNo
Third-party reader integrationTachiyomi, OPDS appsOPDS apps, KOReaderTachiyomi, OPDS apps
File format supportEPUB, PDF, CBR/CBZ/CB7, RAR, ZIPEPUB, PDF, MOBI, AZW3, CBR/CBZCBR/CBZ/RAR/ZIP, PDF, EPUB
SearchFull-text searchMetadata searchMetadata search
Docker complexityLow (1 container)Low (1 container)Low (1 container)
RAM usage200-500 MB100-300 MB200-500 MB
LicenseGPL-3.0GPL-3.0MIT

Quick Picks by Use Case

Use CaseBest ChoiceWhy
Mixed ebook + manga libraryKavitaHandles both well with one server
Ebook library (Calibre users)Calibre-WebNative Calibre DB integration
Pure manga/comic libraryKomgaBest metadata and reader for comics
Kindle usersCalibre-WebSend-to-email for Kindle
Tachiyomi/Mihon usersKavita or KomgaBoth integrate with manga readers
Lowest resource usageCalibre-WebLightest footprint

Installation Complexity

Kavita runs as a single container. Point it at your library directories and it scans them. No external database needed. Straightforward.

Calibre-Web runs as a single container but requires a pre-existing Calibre database (metadata.db). You either need Calibre desktop to create the library first or create the database manually. This is both a strength (deep Calibre integration) and a limitation (extra dependency).

Komga runs as a single container. Scans directories, no external dependencies. Similar to Kavita in simplicity.

Performance and Resource Usage

ResourceKavitaCalibre-WebKomga
Idle RAM~150 MB~80 MB~150 MB
Active RAM200-500 MB100-300 MB200-500 MB
Library scan speedFastN/A (uses Calibre DB)Moderate
Disk (app)~50 MB~30 MB~50 MB
Minimum server1 GB RAM512 MB RAM1 GB RAM

Calibre-Web is the lightest because it doesn’t scan files directly — it reads a pre-built Calibre database. Kavita and Komga both scan and index files themselves, using more resources during scanning.

Community and Support

Kavita: ~8,500+ GitHub stars, active development (monthly releases), responsive maintainer. Growing rapidly. Strong manga/anime community.

Calibre-Web: ~13,000+ GitHub stars, mature project, steady development. Benefits from the massive Calibre ecosystem. LinuxServer.io maintains the popular Docker image.

Komga: ~4,500+ GitHub stars, active development, strong comics community. Good documentation. Active Discord.

Use Cases

Choose Kavita If…

  • Your library is a mix of manga, comics, ebooks, and light novels
  • You want one server that handles all formats well
  • Fast library scanning matters
  • You use Tachiyomi/Mihon for manga reading
  • Full-text search across your library is valuable
  • Age restriction features are needed

Choose Calibre-Web If…

  • You already use Calibre desktop for library management
  • Ebooks (EPUB, MOBI) are your primary format
  • Send-to-Kindle/email functionality is important
  • You want OPDS feeds for KOReader, Moon+ Reader, etc.
  • Lightweight resource usage matters
  • You prefer managing metadata in Calibre desktop

Choose Komga If…

  • Comics and manga are your primary content
  • Metadata scraping from ComicVine matters
  • You use Tachiyomi/Mihon and want deep integration
  • You want per-page reading progress for comics
  • Multi-user with per-library access is needed
  • MIT licensing is preferred

Final Verdict

There’s no single winner — it depends on your library:

Mixed library (ebooks + manga)? Kavita. It handles everything adequately and the reading experience for both formats is good.

Ebook-focused library? Calibre-Web. The Calibre integration, OPDS feeds, and send-to-email make it the best ebook server.

Comic/manga-focused library? Komga. The metadata management and comic reader are purpose-built for that content type.

Running two of these side by side is also reasonable — they’re all lightweight. Calibre-Web for ebooks + Komga for comics is a popular combination.

Frequently Asked Questions

Can I use Kavita without Calibre?

Yes. Kavita is completely independent from Calibre. It scans file directories directly and builds its own metadata database. Calibre-Web is the only option here that requires Calibre.

Which has the best mobile reading experience?

For manga: Kavita and Komga (via Tachiyomi/Mihon). For ebooks: Calibre-Web (via OPDS to KOReader or Librera Reader). All three support OPDS, but the reading experience depends more on the mobile app you choose than the server.

Can I migrate between these three?

All three use the original files as the source of truth. Moving between them means pointing the new server at your existing file directories. Metadata (reading progress, custom tags) doesn’t transfer, but your files work with any of them immediately.