react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable building blocks for rendering interactive charts and graphs by mapping raw data to visual attributes such as position, color, and size. The system leverages D3 for its scaling and layout logic. The library is distinguished by its ability to handle complex data relationships, including hierarchical data via tree maps and circle packing, as well as multidimensional analysis using parallel axes and radar charts. It also supports network flow mapping to illustrate the volume and direc
Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable visualization framework and interactive charting interface used to render data-driven graphics. The library provides a variety of chart types, including line, bar, scatter, donut, sparkline, step, and bullet charts, as well as stacked area and grouped bar charts. It supports interactive elements such as brush interfaces for zooming into date ranges and informational tooltips for data overlays. The framework includes capabilities for visual configuration, such as axis scaling, color schem
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
Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative statistical plotting framework and multi-panel plotting engine, allowing users to create complex charts by mapping data variables to visual properties such as position, color, and size. The project is distinguished by its use of a layered composition model and a statistical transformation engine that performs aggregations and computations before rendering visuals. It features a comprehensive system for multi-panel faceting, which enables the splitting of a single visualization into
Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations.
Die Hauptfunktionen von f5/unovis sind: XY Charts, SVG Data Visualization, Interactive Data Charting, Geospatial Data Mapping, Graph Node Visualizations, SVG-Based Vector Rendering, Network Flow Visualizers, Scatter Plot Rendering.
Open-Source-Alternativen zu f5/unovis sind unter anderem: uber/react-vis — react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable… britecharts/britecharts — Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable… makieorg/makie.jl — Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to… has2k1/plotnine — Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative… visjs/vis — vis is a JavaScript data visualization library used to render interactive networks, timelines, and graphs directly in… jwilber/roughviz — roughViz is a JavaScript data visualization library used to create charts with a hand-drawn, sketchy aesthetic. It…