facontidavide/PlotJuggler
PlotJuggler
PlotJuggler is an interactive time series visualization tool that loads, streams, and renders large datasets using hardware-accelerated OpenGL graphics. It functions as a multi-format data loader, supporting file formats such as CSV, ULog, and ROS bags, and also serves as a live data stream viewer that subscribes to real-time sources via MQTT, WebSockets, ZeroMQ, and UDP.
The tool distinguishes itself through a plugin-based extensibility platform that allows users to add custom data sources, file formats, and processing capabilities. It includes a Lua scripting engine for creating custom data transformations, enabling users to compute new time series from existing data through mathematical operations like derivatives, moving averages, and integrals. Layout persistence and reuse features let users save and reload visualization configurations across sessions.
Beyond its core identity, PlotJuggler provides a built-in transform editor for applying mathematical operations to time series data, and supports connecting to live streaming protocols for real-time monitoring. The platform's modular architecture allows for extending functionality with plugins, while the OpenGL-accelerated rendering engine handles millions of data points for smooth interactive exploration.
Features
- OpenGL-Accelerated Time-Series Renderers - Provides hardware-accelerated OpenGL rendering of millions of time-series data points for smooth interactive visualization.
- Time-Series Visualizers - Renders thousands of time series with millions of data points using fast OpenGL visualization and drag-and-drop interaction.
- Time Series File Parsers - Loads time series data from CSV, ULog, and ROS bag files through a configurable parsing pipeline.
- Lua-Based Data Transformations - Provides a Lua scripting editor for building multi-input, single-output data transformation functions.
- Interactive Time-Series Explorers - Visualizes thousands of time series and millions of data points using fast OpenGL graphics for interactive exploration.
- Lua-Based Data Transformations - Ships a Lua scripting engine for creating custom data transformations and computing new time series from existing data.
- Time Series Stream Viewers - Subscribes to real-time data streams via MQTT, WebSockets, ZeroMQ, and UDP for live time series visualization.
- Time Series Stream Subscribers - Connects to live streaming sources such as MQTT, WebSockets, ZeroMQ, and UDP to visualize real-time data.
- Time Series Stream Subscribers - Subscribes to live data streams via MQTT, WebSockets, ZeroMQ, UDP, and other protocols.
- Live Stream Visualizers - Connects to real-time data sources via MQTT, WebSockets, ZeroMQ, and UDP to visualize streaming time series data.
- Live Stream Visualizers - Connects to real-time data sources like MQTT and WebSockets to monitor and visualize streaming time series data.
- Time Series Loaders - Reads time series data from CSV, ULog, and ROS bag files for analysis and visualization.
- Time Series Analysis - Loads and explores historical time series data from CSV, ULog, and ROS bag files for offline analysis and visualization.
- Time Series Data Loading - Loads time series data from CSV, ULog, and ROS bag files for visualization and analysis.
- Time Series Transformations - Applies mathematical operations such as derivatives, moving averages, and integrals using a built-in editor.
- Lua-Based Transformations - Creates Lua-based scripts to compute new time series from existing data using mathematical operations.
- Custom Data Format Plugins - Extends the tool with custom plugins to add new data sources, file formats, and processing capabilities.
- Time Series File Parsers - Loads time series data from CSV, ULog, and ROS bag files through a configurable parsing pipeline.
- Time Series Renderers - Renders millions of data points using hardware-accelerated OpenGL graphics for smooth real-time visualization.
- Time Series Renderers - Renders millions of data points using hardware-accelerated OpenGL graphics for smooth real-time visualization.
- Data Transformation Scripts - Transforms time series data by executing user-defined Lua scripts for custom mathematical operations and functions.
- Time Series Stream Subscribers - Connects to live data streams via MQTT, WebSockets, ZeroMQ, and UDP for real-time visualization.
- Time Series Stream Subscribers - Connects to live data streams via MQTT, WebSockets, ZeroMQ, and UDP for real-time visualization.
- Time Series Stream Subscribers - Subscribes to live data streams via MQTT, WebSockets, ZeroMQ, and UDP for real-time visualization.
- Data Transformation Scripts - Creates custom mathematical operations and functions using a Lua scripting engine to compute new time series.
- Lua Scripting Functions - Ships a Lua scripting editor for writing multi-input, single-output functions to compute new time series.
- Plugin Extenders - Adds custom data sources, formats, and processing capabilities through a plugin system.
- Plugin-Based Extensibility - Implements a modular plugin system for adding custom data sources, file formats, and processing capabilities.
- Plugin-Based Architectures - Extends functionality through a modular plugin system that adds custom data sources, formats, and processing capabilities.
- Time Series Data Scripters - Transforms time series data by executing user-defined Lua scripts for custom mathematical operations.
- Layout Persistence - Stores visualization layouts and configurations to reload and apply them in later sessions.
- Visual Layout Configurations - Stores visualization layouts and configurations to reload and apply them in later sessions.
- Data Visualization - Timeseries visualization tool for robotic data.
- 数据可视化与分析 - 用于可视化时间序列数据的工具。
- Time Series Analysis - Real-time visualization and analysis of time series logs.
- C++ Visualization - Qt5-based application for plotting time-series data.
- C++ Visualization Tools - Qt5-based application for plotting and visualizing data.
- ROS Libraries and Tools - Tool for visualizing time-series data with a drag-and-drop interface.
- Scientific and System Tools - Qt5-based application for plotting time-series data.
- Visualization Frameworks - Tool for visualizing time-series data.
