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ARM
- Lancaster (UK)
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09:05
(UTC) - https://willfantom.dev
Highlights
- Pro
Starred repositories
Go cross-platform library for sending desktop notifications, alerts and beeps
🛜 100+ offline-first networking tools and utilities
🗓 A modern, simple, feature-packed, fully translatable admin interface for sabre/dav based on Symfony 7 and Bootstrap
Dynamic, adaptive Material Design 3 dashboard for Home Assistant with a transparent, modern aesthetic
Voxel sandbox game with a large render distance, procedurally generated content and some cool graphical effects.
📝 CodeEdit App for macOS – Elevate your code editing experience. Open source, free forever.
Donetick an open-source, user-friendly app for managing tasks and chores, featuring customizable options to help you and others stay organized
Automated Music Discovery and Collection Manager
Nightingale is to monitoring and alerting what Grafana is to visualization.
A CLI/TUI that simplifies launching VSCode projects, with a focus on dev containers
Neovim dev container support - Mirror of https://codeberg.org/esensar/nvim-dev-container
💫 Toolkit to help you get started with Spec-Driven Development
A git prepare-commit-msg hook for authoring commit messages with LLMs.
BookLore: A self-hosted, multi-user digital library with smart shelves, auto metadata, Kobo & KOReader sync, BookDrop imports, OPDS support, and a built-in reader for EPUB, PDF, and comics.
Authentication gateway for Plex/Jellyfin/Emby users with SSO access to internal services.
🕰️ Time Picker Card for Home Assistant's Lovelace UI
A cross-platform, free and open source music player for Jellyfin, powered by React Native
Custom lovelace card that displays a bottom nav in mobile devices, and a side nav in desktop devices for easy navigation.
Tubifarry is a Lidarr plugin that enhances your music library by fetching music from YouTube, integrating with Slskd for Soulseek access, automating Spotify playlist imports, converting files, and …
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
An LLM driven recommendation system based on Radarr and Sonarr library or watch history information