interactive data visualization
SandDance is a Microsoft Research library for visually exploring and presenting data through unit visualizations and smoothly animated view transitions.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose when you need a low-level toolkit to build fully custom visualizations from primitives instead of using SandDance's ready-made exploration views.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Choose for mature, config-friendly standard charts (line/bar/pie) with a large ecosystem; not SandDance's unit-view exploration.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Choose for lightweight, dependency-free SVG charts and a simpler alternative when you don't need unit visualizations or animated view shifts.
📊 Interactive JavaScript Charts built on SVG
Choose when you need a declarative visualization grammar to author custom specs rather than SandDance's prebuilt interactive explorer.
A visualization grammar.
Choose in React apps wanting conventional G2-based charts with familiar chart types instead of SandDance's unit-based approach.
Powerful data visualization library based on G2 and React.
Choose for GPU-accelerated standard charts in WebGPU-enabled browsers, a different rendering architecture than SandDance's views.
Beautiful, open source, WebGPU-based charting library
Choose for animated data stories based on standard chart types with a different model than SandDance's unit visualizations.
Library for animated data visualizations and data stories.
Choose for Flutter applications needing grammar-based visualization, as SandDance is a TypeScript/JavaScript library.
A grammar of data visualization and Flutter charting library.
Choose for a Tableau-like drag-and-drop visual analytics widget embeddable in apps, rather than SandDance's code-driven unit views.
An open source alternative to Tableau. Embeddable visual analytic
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose for geospatial data exploration when a map-centric interface is more important than general-purpose unit visualizations.
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Archived and unmaintained; choose only if you need a stale but simple chart library for legacy compatibility.
🍞📊 Beautiful chart for data visualization.
Choose for mobile-focused charting with standard chart types; a narrower alternative than SandDance's exploratory views.
📱📈An elegant, interactive and flexible charting library for mobile.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
An end-user web application for creating vector visualizations, not an embeddable library for developers.
A web interface to create custom vector-based visualizations on top of RAWGraphs core
Choose for Python/pandas users needing a server-side dataframe visualizer app rather than a JS embeddable component.
Visualizer for pandas data structures
These projects were analysed and named SandDance among their alternatives. The relationship is not symmetric — how SandDance rates them is a separate judgement, made when SandDance is analysed in its own right.
calls SandDance “Choose for interactive data exploration with coordinated views in web apps.”
📱📈An elegant, interactive and flexible charting library for mobile.
calls SandDance “choose when you want an interactive data-exploration application rather than a library to embed.”
A visualization grammar.