TeslaMate este un sistem self-hosted pentru înregistrarea și arhivarea telemetriei de la vehiculele Tesla într-o bază de date locală. Funcționează ca un logger de date auto și dashboard de telemetrie conceput pentru a menține local un istoric complet al condusului și al datelor de stare ale vehiculului.
Principalele funcționalități ale adriankumpf/teslamate sunt: Vehicle Telemetry, PostgreSQL Adapters, Vehicle Telemetry Analysis, Remote Telemetry Dashboards, Proximity and Location, Historical Data Import, Smart Home Bridges, Charging Cost Monitoring.
Alternativele open-source pentru adriankumpf/teslamate includ: teslamate-org/teslamate — TeslaMate is a self-hosted vehicle data logger that records telemetry, charging sessions, and driving history from… schollz/find — This project is an indoor location tracking server and wireless fingerprinting engine designed to calculate the… theoehrly/fast-f1 — Fast-F1 is a Python data library and telemetry analyzer designed for Formula 1. It serves as a programmatic API… koush/scrypted — Scrypted is a video integration platform that connects IP cameras and NVRs into smart home ecosystems such as HomeKit,… freika/dawarich — Dawarich is a self-hosted location history manager and travel journaling platform. It functions as a personal travel… eliaskotlyar/xiaomi-dafang-hacks — This project provides custom bootloaders and firmware specifically for Xiaomi camera hardware. These modifications…
TeslaMate is a self-hosted vehicle data logger that records telemetry, charging sessions, and driving history from Tesla vehicles for private analysis. It consists of a data logger, a PostgreSQL relational data store, and a visual telemetry dashboard for analyzing battery health, energy consumption, and driving efficiency. The system features an MQTT telemetry bridge that streams real-time vehicle states and coordinates to external home automation platforms. It also utilizes geofencing to identify and name custom physical locations based on vehicle coordinates. The platform covers a broad ra
This project is an indoor location tracking server and wireless fingerprinting engine designed to calculate the physical position of Wi-Fi enabled devices within a building. It functions as a local positioning framework that maps wireless signal strengths to physical space without the need for dedicated hardware beacons. The system utilizes a training process to collect and submit wireless signal data, establishing a baseline database of signal patterns for specific coordinates. It identifies current locations by matching real-time signals against these stored fingerprints using k-nearest nei
Fast-F1 is a Python data library and telemetry analyzer designed for Formula 1. It serves as a programmatic API wrapper to retrieve and process timing data, session results, and high-frequency vehicle sensor metrics. The project provides specialized tools for motorsport performance benchmarking and visualization. It enables the comparison of vehicle telemetry, such as speed traces and gear shifts, and generates spatial track maps with speed and corner overlays. The library covers a broad range of data retrieval and analysis capabilities, including the extraction of racing schedules, champion
Scrypted is a video integration platform that connects IP cameras and NVRs into smart home ecosystems such as HomeKit, Google Home, Alexa, and Home Assistant. It functions as both an NVR software for recording and playing back continuous video footage, and an object detection engine that analyzes live camera feeds to identify motion, people, vehicles, and other objects. The platform distinguishes itself through its ability to transcode and forward live camera streams to multiple smart home platforms simultaneously, enabling unified viewing and control across all connected devices. It includes