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React.js automotive diagnostics dashboard for OBD-II streams. Delivers real-time telemetry with AI-driven fault code interpretation, transforming raw parameter IDs into clear, human-readable insights. The frontend emphasizes clarity and interpretability through a minimalist, high-contrast design optimized for accessibility and rapid comprehension.

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frontend

React.js automotive diagnostics dashboard for OBD-II streams. Delivers real-time telemetry with AI-driven fault code interpretation, transforming raw parameter IDs into clear, human-readable insights. The frontend emphasizes clarity and interpretability through a minimalist, high-contrast design optimized for accessibility and rapid comprehension.

Read the introductory ▸

View the full documentation ▸

Try it out on CodeSandbox ▸

Read frequently asked questions (FAQ) on the wiki ▸

Changelog

Gaugeobd's change log and migration guides for major versions live on the repo's Github wiki.

Packages

This repository contains multiple projects in the packages/ directory.

Libraries

ui-core - Foundational React components and styles that provide the base layout, controls, and visual language.

telemetry-viewer - Real-time visualization components for rendering OBD-II data streams as gauges, graphs, and status indicators.

Development

Prerequisites

  • Node.js v20+ – core runtime for React and tooling
  • npm v10+ – package manager for dependencies and scripts
  • Git – to clone and manage the repository
  • Modern browser (Chrome, Firefox, Edge) – required for running the dashboard locally
  • OBD-II data source – either:
    • A physical OBD-II adapter + backend relay server

Contributing

Looking for places to contribute to the codebase? First read the contribution guidelines

  • A simulated/mock OBD-II data service for development

About

React.js automotive diagnostics dashboard for OBD-II streams. Delivers real-time telemetry with AI-driven fault code interpretation, transforming raw parameter IDs into clear, human-readable insights. The frontend emphasizes clarity and interpretability through a minimalist, high-contrast design optimized for accessibility and rapid comprehension.

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