This is a community for the fantastic open-source application Kavita. It's a manga, ebook & comic reader that automatically organizes your files and metadata and let's you track your progress.
To check out the project, visit the Github Page and check out the newest Releases
It's finally here, the UX Refresh. Robbie and I have been dreaming and planning this for over a year now and we've grinded for 2 months (with my trip to Norway/Finland between) to bring it to you. ...
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v0.8.3 - The UX Refresh Latest
Released by @majora2007
v0.8.3 9c34c19
The much-anticipated UX Refresh is finally here. After over a year of planning and two months of development (including a brief trip to Norway/Finland), this update delivers a major overhaul to Kavita's user experience. Inspired by the design language of Plex, this release aims to make Kavita the Plex of reading platforms, both on mobile and desktop. The changes have been met with overwhelmingly positive feedback from nightly testers. Here are the highlights of what’s new.
Colorscape
One of the most significant new features is "Colorscape," a dynamic tinting system that adds a colorful gradient background to pages with cover images, much like Plex's movie detail pages. This feature wasn’t easy to implement, requiring extensive work on CSS gradients before landing on a solution. Users can turn Colorscape on or off and customize it with themes, allowing theme creators to modify how it looks. The feature do
1.0.0 Release requires Kavita nightly or verions above 0.8.2
Added Komelia wasm webui (Komf integration is work in progress)
Added StoryArc and StoryArcNumber to ComicInfo provider
Added metadata ...
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📢 Update Alert! 📢
New Features
Komelia WebUI: Added Komelia wasm webui (Komf integration is a work in progress).
ComicInfo Enhancements: Added StoryArc and StoryArcNumber support.
Metadata Job History: Track your metadata jobs more effectively.
A new stable release is here and it is yet again another big one. Initially I set out to focus on 3 items: Scanner, Smart Collections, and CBL v2 (new schema), but here I am delivering 3 massive im...
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A new stable release is here with three major improvements and numerous smaller changes. Let's dive into the highlights:
Built-in Theme Explorer
Users can now browse, preview, and download themes directly within Kavita. Uploaded themes will update automatically.
Smart Collections for Kavita+
Users can import Interest Stacks/Restacks from their MAL accounts into Kavita, syncing every two days. These collections are read-only but can be promoted if the user has the promotion role.
Scanner Changes
Optimizations have been made to improve scanning performance for larger libraries, reducing the processing time significantly.
Misc Changes
WAL Enabled by Default: Fixes common database lock issues.
Double Scrollbar on Mobile: Fixed on all pages.
OPDS Improvements: Enhanced metadata and reading list support.
Manga Reader Tweaks: Improved fit-to-height/width functionality.
Another release so soon? Unfortunately, a critical bug was found from v0.7.9 which prevented inviting new users to Kavita servers which means I had to cut the release short. This release is mainly ...
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Release v0.7.10 Patch Notes
New Feature
Next Estimated Chapter: This release introduces a new feature called "Next Estimated Chapter." It calculates the estimated release date for the next chapter or volume in a series, based on underlying volumes and chapters in a series. It takes into account acquisition methods and series status, providing estimated dates for your reading pleasure.
Changes
DB Connection Tweaks: Tweaked the pooling for DB connections to reduce database contention issues.
Improved UI: Various UI improvements, including changes in email service testing, updated email format checks, and more.
Better Epub Mapping: Epub marc:relators now map illustrator to Inker instead of Letterer.
Series Scrobbling: In Kavita+, series that are already completed in AniList won't update to "in progress" in Kavita+.
Bug Fixes
Various Fixes: A myriad of bug fixes, including issues related to series completion, sorting, email links, dark
Komga and Kavita metadata fetcher. Contribute to Snd-R/komf development by creating an account on GitHub.
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Komga and Kavita Metadata Fetcher is a tool that fetches metadata and thumbnails for your digital comic book library. It can automatically pick up added series and update their metadata and thumbnail. You can also manually search and identify series, or match the entire library or a series. Additionally, you can install the Komf userscript to add Komf integration directly to Komga and Kavita UI, allowing you to launch manual or automatic metadata identification.
Another major feature has been reworked as I lay down those foundational changes you may hear me talk about. Kavita now has a brand new filtering system to enable users to really poke and prod thei...
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Kavita v0.7.8 Changelog Summary
Major Updates:
New Filtering System: Kavita introduces a revamped filtering system, allowing users to create unique filters and combine statements. The system is designed to be flexible and expandable.
OPDS Improvements: Enhancements to the OPDS implementations have been made, including better series descriptions and new feeds for "want to read". Kavita is also working on adding OPDS2 support.
Localization Progress: Kavita is now fully translated into Korean, Chinese (Simplified), and almost entirely in Italian. Many other languages have over 80% of their strings translated.
Added Features:
Click on a character tag from the Reading list to open a pre-filtered search.
New sections in OPDS feeds for "Want to Read" series.
Admins can change the cover image size with multiple size options.
Self-hosted manga downloader. Contribute to oae/kaizoku development by creating an account on GitHub.
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Kaizoku is a nice self-hosted application that runs mangal in the backend to download Mangas from multiple sources. It can set up reoccurring tasks to check for running mangas and download new episodes automatically.
It has a Kavita integration where it can tell kavita that there is a new manga in the library and it should rescan and get it's metadata.
It works really fast and works with the most common Manga sources online.