manga-download/hakuneko
Productivity & UtilitiesCross-platform desktop app for downloading manga chapters and anime episodes from supported sites for offline reading or viewing.
What it does
HakuNeko is a cross-platform desktop downloader for manga and anime from various websites. It is built around ad-hoc, offline consumption: fetch a chapter or episode when you are about to read or watch it, rather than stockpiling thousands of chapters. It also includes a chapter page preview and an anime playback view, as shown in the screenshots.
Getting started
The project distributes installers and archives for Linux, Windows, and macOS. Download the latest stable release from the stable release channel; nightly pre-releases are available on the releases page. A Windows portable version keeps all application data inside the application folder. Windows users can alternatively install the Chocolatey package hakunekonightly from the Chocolatey package page. The project website is at hakuneko.download.
After installation, launch the application, select a supported manga or anime source, search for a title, and choose the chapter or episode you want locally. The README does not document source setup, output locations, or troubleshooting steps, so those details need to be found in the application or the project community.
Constraints and project status
HakuNeko is intended for ad-hoc offline consumption, not mass archival downloads. The README does not state system requirements, per-platform limitations, or the current list of supported sources. Build and test status is tracked through Azure DevOps builds, and developer documentation is in the wiki. The project is released under the Unlicense.
HotRepo's take
There are no HotRepo ranking, snapshot, or discussion records for this repository, so there is no site-side trend to report. The project's own materials establish a mature, cross-platform downloader with stable and nightly release channels, CI on Windows, Ubuntu, and macOS, and a stated use-case boundary around ad-hoc offline consumption. The distribution model is a precompiled desktop application, and the README does not document how those binaries map to this source tree.
Written by AI from the project's README, updated . The project's own docs are the source of truth.