Plotune Overview
A modular, high-performance data visualization and signal analysis platform built for researchers, engineers, and students.
Introduction
Plotune enables real-time and offline visualization of streaming data from multiple sources such as UART, CAN, Bluetooth, and file-based logs. Designed for performance and flexibility, it serves researchers, engineers, and students alike.
Core Philosophy
Modularity
Every visualization, source, and calculation component is isolated and extendable. Drag, resize, or dock any element within the canvas.
Extensibility
Through its SDK and API, developers can build custom plugins that integrate seamlessly with the Plotune core ecosystem.
Performance
Redis-powered backend and multi-process Python architecture ensure fast data throughput, even for high-frequency streams.
Architecture Overview
Frontend
- Built with PyQt5 for responsive desktop UI
- Supports drag-and-drop and docking layouts
- Component-based views (Oscilloscope, Scatter, Bridge, Statistical)
Backend
- Python with plugin-based data acquisition
- Redis for fast in-memory streaming
- Handles source management and live stream distribution
Interface Layout
Main Areas
- Top Menu: Home, Configuration, View, Help
- Left Sidebar: File Explorer, Variable Explorer
- Right Sidebar: Calculation, Plugins, Sources
- Canvas Area: Central workspace
Data Sources
Extensibility & Plugins
Plotune offers a flexible Extension SDK for building plugins that extend both frontend and backend capabilities.
Plugin Capabilities
- New data acquisition methods
- Custom visualization panels
- Mathematical computation nodes
- Integration bridges (MATLAB, cloud APIs)
Distribution
- Curated internal marketplace
- Online and offline modes
- Secure token-based licensing
Typical Use Cases
Roadmap Highlights
Last updated: November 2025 — Plotune Core v1.0.0