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── 99339 repos indexed ── | filtered by tag: #bluetooth-audio
arkq/bluez-alsa ★ 981 204 APPLICATION

BlueALSA is a Bluetooth audio ALSA backend for Linux systems that integrates with BlueZ to provide A2DP, HFP/HSP, ASHA, and BLE-MIDI profiles. It operates as a daemon (bluealsad) managing Bluetooth connections and exposing audio streams via ALSA PCM plugins and D-Bus interfaces. The architecture is modular, separating transport management, codec handling, D-Bus communication, and ALSA plugin layers. Key entry points include the daemon (src/main.c), ALSA PCM plugin (src/asound/bluealsa-pcm.c), ALSA mixer plugin (src/asound/bluealsa-ctl.c), and control utility (src/bluealsactl/main.c). Data flows from ALSA applications through the PCM plugin to Bluetooth transports, with control signaling via D-Bus. External dependencies include BlueZ, ALSA, GLib, and various codec libraries (SBC, aptX, LDAC, etc.).

RATING: 7.9/10 MAINT: active DRIFT: medium
▸ 5 reusable components found
Turbo1123/turbometa-rayban-ai ★ 533 94 APPLICATION

This repository contains a cross-platform mobile application (iOS and Android) that functions as an AI assistant for Ray-Ban Meta smart glasses. The app connects to the glasses via the Meta Wearables DAT SDK to access camera and microphone streams, then provides various AI-powered features including real-time conversations (Live AI), image recognition (Quick Vision), food nutrition analysis (LeanEat), real-time translation, and experimental RTMP streaming. The architecture follows MVVM patterns on both platforms, with SwiftUI/Jetpack Compose for UI, ViewModels for state management, and service layers handling API communications with multiple AI providers (Alibaba Cloud, Google Gemini, OpenRouter). Key features include secure API key storage, Bluetooth audio routing for glasses microphones, and integration with external systems like OpenClaw. The application is actively maintained with recent commits and demonstrates solid engineering practices, though the multi-platform nature and reliance on external AI services introduce some complexity.

RATING: 7.2/10 MAINT: active DRIFT: low
▸ 6 reusable components found
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