An open-source, cross-platform desktop application for managing and analyzing your GitHub Stars.
StarCabinet is an open-source desktop application for managing and analyzing your GitHub Stars. It solves the problem of GitHub's limited Stars interface by providing advanced categorization, tagging, filtering, and offline access to your starred repositories. It transforms your Stars list into a searchable, organized knowledge base.
Developers and technical users who actively curate GitHub Stars and need better tools to organize, search, and reference their saved repositories offline.
Developers choose StarCabinet for its rich metadata system (tags, flags, notes, ratings), powerful offline-first capabilities, and advanced filtering beyond GitHub's native interface—all in a free, open-source cross-platform desktop app.
:tada: 开源的跨平台Github Stars管理分析工具
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Allows custom categories, tags, flags, notes, and ratings, enabling detailed organization beyond GitHub's basic interface, as highlighted in the Features section.
Uses RxDB and IndexedDB to store repository data locally, supporting full functionality and README viewing without an internet connection, which is core to its philosophy.
Provides multiple sorting options and search across repository names, descriptions, notes, and tags, making it easy to manage large collections efficiently.
Offers export and import capabilities for Stars data and custom metadata, ensuring backups and restoration, as stated in the Key Features.
Last updated in 2018, so it may lack support for newer Electron versions, GitHub APIs, or have unpatched security vulnerabilities, limiting long-term viability.
The README notes issues like keytar errors and requires additional tools like windows-build-tools, making installation non-trivial, especially on Windows.
With no recent updates and minimal community activity, users are on their own for bug fixes, compatibility, or feature enhancements beyond the 2018 release.
As an Electron app with local database storage, it can be resource-heavy on startup and memory usage, which might not suit all desktop environments.