What does plotters-rs/plotters do?

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.

What are the main features of plotters-rs/plotters?

The main features of plotters-rs/plotters are: Rust Data Visualization Libraries, Visualization Coordinate Mapping, 3D Chart Generation, Data-to-Pixel Coordinate Transforms, 2D Plot Constructors, Matrix Transformation Engines, Backend-Agnostic Rendering Pipelines, 3D Graphics Pipelines.

What are some open-source alternatives to plotters-rs/plotters?

Open-source alternatives to plotters-rs/plotters include: alandefreitas/matplotplusplus — This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network… bloomberg/bqplot — bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model,… philackm/scrollablegraphview — ScrollableGraphView is a Swift data visualization library and iOS plotting framework used to render discrete numerical… scottplot/scottplot — ScottPlot is a cross-platform, high-performance charting library for .NET that renders interactive plots across… makieorg/makie.jl — Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to… bqplot/bqplot — bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of…

Plotters | Awesome Repos

Features

Rust Data Visualization Libraries - Provides a comprehensive toolkit for creating 2D and 3D charts and mathematical visualizations using the Rust language.
Visualization Coordinate Mapping - Implements a mapping system that translates raw data values to visual coordinates for chart rendering.
3D Chart Generation - Provides capabilities for establishing 3D plotting environments to render spatial coordinates within a 3D volume.
Data-to-Pixel Coordinate Transforms - Translates abstract data values into physical pixel coordinates using configurable chart contexts and projection matrices.
2D Plot Constructors - Provides programmatic construction of 2D plots with configurable axes, data series, and labels.
Matrix Transformation Engines - Uses four-by-four homogeneous matrices to manage the perspective, rotation, and scaling of 3D spatial data.
Backend-Agnostic Rendering Pipelines - Implements a trait-based rendering system that allows plot logic to target SVG, BitMap, or HTML5 canvas backends.
3D Graphics Pipelines - Provides a 3D graphics pipeline for rendering spatial data with adjustable camera viewpoints and projection matrices.
Multi-Backend Renderers - Ships a rendering engine capable of exporting graphics to multiple backends, including SVG, Bitmap, and HTML5 canvas.
Numerical Data Plotting - Generates 2D graphs, histograms, and candlesticks to visualize numerical and technical scientific data.
Multi-Format Image Exports - Enables exporting graphics to multiple backends including SVG, BitMap, and HTML5 canvas.
Multi-Chart Type Libraries - Supports a broad catalog of standard chart types, including lines, points, candlesticks, and histograms.
Line Plots - Renders various data series, including lines and points, by iterating over collections of coordinate elements.
Chart Axis Configurations - Provides tools for defining chart contexts with custom captions and label areas to map data to the drawing area.
Real-Time Plot Updates - Updates visual elements and animations in real time to reflect live data streams or changing mathematical states.
Mathematical Function Plotting - Generates mathematical function graphs and 2D charts for native or web-based applications.
3D Viewpoint Control - Implements camera perspective management for 3D plots using adjustable projection matrices.
Custom Graphics Generation - Supports building complex visual layouts and custom geometric primitives for export to SVG, BitMap, and HTML5 canvas.
Real-Time Plot Rendering - Supports live updates of visuals to reflect animations or real-time data streams.
Trait-Based Plot Elements - Defines visual primitives and data series as interchangeable components that implement a common rendering interface.
Chart Layout Composition - Provides a recursive drawing area hierarchy to divide canvases into sub-areas or grids for complex multi-figure layouts.
Canvas Layout Hierarchies - Organizes the root canvas into a recursive tree of sub-areas and grids to compose complex multi-figure layouts.

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plotters-rsplotters

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alandefreitas/matplotplusplus

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Frequently asked questions

Star-Verlauf

Open-Source-Alternativen zu Plotters

alandefreitas/matplotplusplus

bloomberg/bqplot

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Frequently asked questions