TeslaMate is a self-hosted data logger for Tesla vehicles that collects telemetry via the Tesla API (both polling and streaming), stores data in PostgreSQL, and provides visualization through a Phoenix LiveView web interface and Grafana dashboards. It integrates with home automation systems via MQTT and supports importing historical vehicle data from CSV files (TeslaFi format). The application uses a supervision tree to manage background processes for data collection, MQTT publishing, import tasks, and update checking. Key features include geofencing for location-based cost tracking, encrypted storage for API tokens using Cloak, internationalization via Gettext, and custom Ecto expressions for geographic calculations. The architecture is monolithic with clear separation of concerns through Phoenix contexts (Log, Vehicles, Settings, Locations).
sunnypilot is a community fork of comma.ai's openpilot, an open-source driver assistance system (ADAS) designed for real-time operation on dedicated hardware (comma three/4, panda). The codebase implements the full autonomy stack: camera and radar perception, path planning, longitudinal/lateral control, driver monitoring, and localization via Kalman filters. It runs as a set of daemon processes orchestrated by a process manager, communicating through a shared-memory pub/sub messaging layer (msgq) with Cap'n Proto serialization. The system includes a full-featured Raylib-based UI with on-road HUD, settings panels, and an installer, plus cloud connectivity through Athena (remote commands, registration) and the fork-specific Sunnylink (settings backup/restore, telemetry). Beyond the core openpilot functionality, sunnypilot adds numerous extended features: Modular Assistive Driving System (MADS) for configurable steering modes, neural network lateral control (NNLC), map-based speed limit assist using OpenStreetMap data (mapd), intelligent cruise button management, dynamic experimental control, and a model manager that fetches and caches driving model bundles from a remote manifest. The fork maintains its own cereal schema extensions and custom UI layouts for both touch (mici) and big-screen (tizi) hardware variants. The repository includes extensive testing infrastructure: unit tests for most modules, process replay tests that compare outputs against reference logs, longitudinal/lateral maneuver simulations, and CAN bus analysis tools (cabana, replay). It also provides simulation bridges (MetaDrive, joystick) for closed-loop testing. The build system uses SCons for C++ components and uv for Python dependencies, with CI pipelines for model building, release drafting, and route uploads.
This repository is an ESPHome custom component and configuration pack that turns an ESP32 into a BLE bridge for controlling Tesla vehicles. It implements a `tesla_ble_listener` component that connects to the car's BLE advertisement/command channel, encrypts/decrypts Tesla's proprietary BLE messages using a forked `tesla-ble` library, and exposes ESPHome services, buttons, sensors, and selectors for actions like lock/unlock, frunk/trunk, climate, and cabin overheat protection. The repo is primarily YAML package definitions and C++ component code, with a Makefile and CI workflow for building board-specific firmware.