v2 installed two globals and the fake replaced both. v3 has neither — the runtime is an npm module and the generated bindings call into it. What it has instead is better: setTransport() is a public seam for replacing the IPC transport, and *every* runtime call goes through it, so the fake is smaller than v2's and covers strictly more. The event dispatcher is no longer mirrored at all. v2's fake reimplemented desktop/events.js — the listener list, maxCallbacks expiry, the reverse iteration — because there was no way to reach the real one; emit() now goes through window._wails.dispatchWailsEvent, which is the entry point the backend's own push uses. What is mirrored instead is one line of Go: how EventManager.Emit packs variadic data into an event's single data field. Registration and unregistration are the public Events API. The one non-public thing left is the listener registry, aliased in vitest.config.mts and used only by listenerNames() — a test asks whether importing a store subscribed it, which nothing public can answer. A binding carries a method ID, not a name, so the fake derives the ID -> path map from the generated tree: FNV-1a over the FQN, with the Go type's casing recovered from each package's index.ts, which is the only place it survives (library/library.ts cannot tell you it is FrontendUtil). The map has to be complete rather than lazy because 21 assertions read calls() with no argument and compare the whole list. Two things had to move that are not the fake. fixture() drains microtasks between two renders: a v3 binding settles several hops later than v2's, and tests were already written as though fixture() meant "mounted and loaded". Microtasks and not a timer, which would hang under the suites that install fake ones. tracklist-store keeps its defaults on an empty answer instead of emptying the column list. GetTrackListColumns substitutes DefaultColumns only when the whole config section is missing; a section that exists with no columns returns nothing. Until now this was accidental — the binding was typed Column[], an absent answer arrived as undefined, and .map threw into the catch. 757 tests pass across all 63 files. They are run in batches: a single browser session dies partway through the 58 it queues, which reproduces unchanged at the pre-migration commit and is a resource limit on this machine rather than anything here. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UDCbcCZQepnpSQYJ6SxxZm
YellowJacket
Music how it was meant to bee.
YellowJacket is a fast, cross-platform desktop music player for your local collection. It plays your files, keeps your library tidy, and helps you discover and organize your music — all in a clean, responsive interface. No accounts, no streaming, no telemetry: just your music on your machine.
Runs on Linux, macOS, and Windows.
Features
Play your music
- Plays MP3, FLAC, OGG Vorbis, and WAV
- Play, pause, seek, and volume control with a mute toggle
- Gapless, glitch-free seeking backed by a read-ahead buffer
- A queue you can add to, reorder, and shuffle, with play-next support
- Shuffle and repeat (off / all / one)
- Picks up right where you left off — remembers your track, position, and volume between sessions
- Media-key and MPRIS support on Linux, so your desktop's playback controls just work
Keep your library organized
- Point it at your music folders and it scans them automatically
- Reads tags and embedded cover art, and de-duplicates artwork so it isn't stored twice
- Incremental sync — only new or changed files get reprocessed, and deleted files are cleaned up
- Browse by album, artist, or genre, or search across everything
- Mark favorites and see what you've been listening to with play history
- Edit track tags directly when something's off
Playlists
- Create playlists, drag tracks in, and reorder them
- Smart playlists that build themselves from rules (by genre, rating, play count, and more)
- Pin a default playlist and spot duplicate tracks at a glance
Discover and clean up (powered by MusicBrainz)
- Explore — browse artists, releases, and genres from the MusicBrainz catalog, not just what's already in your library
- Auto-tag — match your files against MusicBrainz to fill in correct artist, album, and track metadata, with a review step before anything is written
- Lyrics search — find a track by a line you remember
Install
Download the latest build for your platform from the releases page.
| Platform | Download |
|---|---|
| Linux | yellowjacket-linux-amd64 |
| macOS | yellowjacket-darwin-universal.app.zip (Apple Silicon + Intel) |
| Windows | yellowjacket-windows-amd64.exe |
Prefer to build it yourself? See Building from source.
Getting started
- Launch YellowJacket.
- Open Settings and add the folder(s) where your music lives.
- Let the initial scan finish — you'll see progress as it works.
- Browse by album, artist, or genre, queue something up, and press play.
Your library and settings are stored locally:
| Linux / macOS | Windows | |
|---|---|---|
| Config | ~/.config/yellowjacket/ |
%LOCALAPPDATA%\yellowjacket\config |
| Library data | ~/.local/share/yellowjacket/ |
%LOCALAPPDATA%\yellowjacket\data |
Building from source
YellowJacket is built with Go and a Lit/TypeScript frontend, bridged by the Wails framework.
Prerequisites
| Tool | Version |
|---|---|
| Go | 1.25+ |
| Node.js | 22+ |
| pnpm | 10+ |
| Wails CLI | v2 (go install github.com/wailsapp/wails/v2/cmd/wails@latest) |
On Linux, install the system libraries Wails needs:
sudo apt-get install libasound2-dev libgtk-3-dev libwebkit2gtk-4.1-dev
macOS and Windows need no extra system packages. Run wails doctor to check your
environment.
Build
make setup # install tooling and git hooks
make dev # run with hot-reload
make build-prod # produce a release binary
More detail for contributors lives in
docs/dev/overview.md and CLAUDE.md.