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Apache Superset vs D3.js
D3.js offers low-level visualization building blocks, while Superset delivers ready-made charts and a no-code interface.
Apache SupersetOpen-source data exploration and visualization platform
D3.jsJavaScript library for bespoke data visualizationWhich to pick
Pick Apache Superset if you want…
- Open-source BI and visual analytics
- Integrations with Jinja templating (on Apache Superset's list, not D3.js')
Pick D3.js if you want…
- Low-level, programmable visualizations
- Custom data visualizations via JavaScript
- Integrations with JavaScript or Observable (on D3.js' list, not Apache Superset's)
Side by side
- What it is
- Apache Superset:Apache Superset is an open-source platform for data exploration, visualization, and dashboard creation.
- D3.js:D3.js is a JavaScript library for creating custom, dynamic data visualizations.
- Best for
- Apache Superset:Open-source BI and visual analytics
- D3.js:Low-level, programmable visualizations
- Who it’s for
- Apache Superset:Analysts, business users, data engineers, and developers needing self-serve analytics.
- D3.js:Web developers and data analysts building interactive visualizations.
- Pricing
- Apache Superset:Open source
- D3.js:Open source
- Open source
- Apache Superset:Yes, 75,061 GitHub stars
- D3.js:Yes, 113,789 GitHub stars
- Works with
- Apache Superset:Jinja templating
- D3.js:JavaScript, Observable
Apache Superset features
- 40+ visualizations. Provides over 40 pre-installed chart types, including geospatial visualizations.
- Drag-and-drop builder. Enables no-code chart creation with an intuitive visual interface.
- SQL Lab IDE. Offers a full-featured SQL editor with Jinja templating and database metadata browsing.
- Virtual & physical datasets. Allows creation of reusable datasets for consistent metric definitions.
- Data caching. Caches query results to speed up chart and dashboard loading.
- Cross-filters & drill-through. Supports interactive filtering, drill-to-detail, and drill-by for deeper analysis.
D3.js features
- Selections & Transitions. Create, update, and animate DOM elements based on data without a virtual DOM.
- Scales & Axes. Map data values to visual properties like position, size, and color, with built-in axis generators.
- Shapes & Layouts. Render arcs, lines, pies, treemaps, force-directed graphs and other geometric primitives.
- Interactions. Add panning, zooming, brushing, dragging and other reusable interactive behaviors.
- Geographic Maps. Support many map projections, adaptive sampling and clipping for spatial visualizations.
- Data Utilities. Parse CSV, format dates, work with color spaces, calendars and basic statistics.
- Observable Integration. Runs fully on Observable, enabling collaborative editing, versioning and live data connections.
Apache Superset vs D3.js FAQ
Is Apache Superset or D3.js free?+
Yes, both are free and open source.
Is Apache Superset or D3.js open source?+
Yes, both are open source: Apache Superset (apache/superset on GitHub, Apache-2.0 license) and D3.js (d3/d3 on GitHub, ISC license).
Do Apache Superset and D3.js integrate with the same tools?+
Their integration lists don't overlap: Apache Superset lists Jinja templating; D3.js lists JavaScript and Observable.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.