[AIP] Fathom v0.11.0: now on Android and Android TV (experimental), plus many more updates! (github.com)
from TraceApps@lemmy.world to selfhosted@lemmy.world on 08 Aug 17:25
https://lemmy.world/post/50439167

Fathom is an all-in-one client for Jellyfin, on Linux, Windows, and now Android. It brings movies, shows, music, and Live TV into one window, with most of Jellyfin’s server-side management built in, plus optional Seerr requests and a full YouTube client. Everything plays through mpv (via media_kit), so you get direct play, hardware decoding, and real subtitle and audio track control. Free and open source (AGPL-3.0).

Feedback is very welcome. Bug reports and feature requests both belong on GitHub Issues, and questions are fine in Discussions. Fair warning: the new Android TV build is still rough around the edges, so testers and reports there especially would help a lot.

This is my first update post since the 0.9.0 launch, so here’s everything added since then.

New platforms

• Android phones and tablets, from a single universal APK.
• Android TV, experimental for now: D-pad navigation and a 10-foot interface, still being refined.
• Android Auto (audio-only): browse Jellyfin music, internet radio, and YouTube, search by voice, and control playback from the car.
• ARM64 (aarch64) Linux builds alongside x86_64.

Player

• Up Next over the credits (a poster card or a compact Netflix-style pill) that rolls into the next episode, with configurable timing and autoplay.
• Skip Intro, Skip Credits, and Skip Recap.
• Audio passthrough: bitstream Atmos, Dolby Digital, and DTS to a receiver on the desktop player.
• Playback Info overlay: play method, codecs, resolution, the live hardware-decode path, and dropped frames.
• Display Sync for smoother playback on high-refresh displays.
• Chromecast casting from Android.

Library and management

• A per-item menu on posters, episode rows, and the detail page: Play or Resume, mark watched, favorite, add to a playlist, refresh metadata, and delete.
• Delete media from the app (with the right server permission): a whole series, a season, a single episode, or a movie.
• In-app plugin configuration as a real form with toggles and fields, instead of a raw JSON blob.
• Backup and Restore your settings to a portable file, by group.

Beyond Jellyfin

• Internet radio: add stations by URL or from the radio-browser.info directory, organize them into groups and favorites, with live time-shift to pause and rewind a live station.
• OS media controls: system media keys and on-screen controls on Linux (MPRIS) and Windows (SMTC), covering video, Live TV, YouTube, and radio.
• The built-in YouTube client gains a Shorts viewer, background audio, a playlist queue, and much faster browsing, on top of the existing SponsorBlock, DeArrow, and downloads.

Quality of life

• Unified search, drag-to-reorder lists, and a customizable Home and navigation.
• Diagnostics screen with exportable logs, internal/external server address auto-switching, and a documentation site.
• Reliable HTTPS on Windows, and in-app updates that verify the download’s size and architecture before installing.

Platforms: Linux and Windows (self-contained downloads) and Android (APK; Android TV experimental). macOS and iOS need Mac hardware I don’t have yet.

• Code and releases: github.com/Fathom-Media/fathom
• Latest release: github.com/Fathom-Media/fathom/releases/latest
• Docs: fathom-media.github.io/fathom

AI Disclosure

Per Rule 7 / [AIP] disclosure requirements AI was used during development as a coding assistant. Level per category:

• Design (architecture, system design): Hint — I make the architectural calls; AI suggests trade-offs and edge cases I might have missed.
• Implementation (production code): Pair — roughly 50/50. AI drafts, I review, adjust, test on real hardware, and only commit what I’ve verified. Every commit is manually reviewed before it goes to my dev repo.
• Testing (writing tests, test plans, QA): Assisted — real-device testing is manual (I test on my own PC and mobile devices before every release). AI helps draft test plans and think through edge cases.
• Documentation (docs, comments, README, CHANGELOG): Pair — release notes and changelog entries are drafted with AI then edited for tone; comments and code docs are mostly Pair as well.
• Review (code review, PR feedback): Assisted — I’m the reviewer; AI helps with security sweeps, audit passes on complex changes, and consistency checks.
• Deployment (CI/CD config): Hint — the GitHub Actions build and release pipeline (Linux AppImage, Windows, Android APK) is largely conventional; AI-suggested improvements only.

#selfhosted