4 Repos
Dynamic updating of visual elements to reflect animations or live data streams in real time.
Distinct from Real-Time Metric Visualization: Existing candidates focus on video stream processing or system monitoring metrics; this is a general-purpose real-time rendering capability for charts.
Explore 4 awesome GitHub repositories matching graphics & multimedia · Real-Time Plot Rendering. Refine with filters or upvote what's useful.
ScrollableGraphView is a Swift data visualization library and iOS plotting framework used to render discrete numerical datasets as interactive graphs. It provides a scrollable user interface component that visualizes data points using a coordinate system with configurable layouts and styling. The framework is characterized by its adaptive graph scaling, which automatically adjusts the vertical axis to fit the visible data points as the user scrolls. It supports real-time data rendering, allowing graph views to update instantly as underlying datasets change through animated transitions. The l
Implements dynamic updating of visual elements to reflect live data streams in real time.
Plotters is a data visualization library for the Rust programming language used to create 2D and 3D charts, plots, and mathematical visualizations. It functions as a multi-backend rendering engine and coordinate mapping framework that translates raw data values into pixel coordinates through customizable chart contexts. The library distinguishes itself through its ability to export graphics to multiple formats, including SVG, BitMap, and HTML5 canvas. It provides specific capabilities for 3D graphics plotting, featuring adjustable camera viewpoints and projection matrices to manage spatial da
Supports live updates of visuals to reflect animations or real-time data streams.
PyQtGraph is a scientific plotting and graphics framework built for PyQt and PySide applications, providing fast, interactive 2D and 3D visualizations with GPU-accelerated rendering. It serves as both a real-time signal monitoring system for streaming time-series data and a toolkit for constructing interactive data dashboards with dockable panels, parameter trees, and custom widgets. The library also includes a node-based visual flowchart tool for building data processing pipelines and a scientific graphics export system that saves plots as PNG, SVG, or CSV and converts items to Matplotlib for
Renders streaming time-series data with smooth scrolling for real-time monitoring applications.
Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to create interactive 2D and 3D visualizations. It functions as a reactive visualization framework where plots update automatically via observables and compute graphs, and as a vector graphics generator for high-resolution academic output. The system is distinguished by its backend-agnostic rendering pipeline, which supports OpenGL, WebGL, and ray-traced scenes. It employs a grammar-of-graphics approach to map variables to aesthetic attributes and utilizes a hierarchical scene graph t
Refreshes visual plot elements in real-time by updating observables within a loop.