data visualization / charting
D3.js is a low-level JavaScript library for creating dynamic, data-driven visualizations using web standards like SVG, Canvas, and HTML.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose when you want a rich, config-driven charting library with out-of-the-box interactivity and theme support instead of hand-coding D3.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Choose when you need ready-made scientific/interactive charts with hover, zoom, and export without writing D3 code.
Open-source JavaScript charting library behind Plotly and Dash
Choose when you want React components over Chart.js for simple, responsive Canvas charts instead of D3.
React components for Chart.js, the most popular charting library
Choose when you work in .NET and need a desktop/interactive plotting library, far from D3's web stack.
Interactive plotting library for .NET
Choose when you want pure-CSS data styling with no JavaScript, a fundamentally different approach from D3's DOM manipulation.
Open source CSS framework for data visualization.
Choose when you want a chart-spec language for AI agents to generate charts, rather than imperative D3 manipulation.
🪄 Flint is a visualization language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs.
Choose when you need chart components for React Native mobile apps, not browser-based D3.
Beautiful charts for React Native. Line, area, bar, pie, donut, progress, and contribution heatmaps for dashboards, reports, and data-rich mobile apps.
Choose when you want a cross-platform high-level chart library with declarative specs, not D3's low-level API.
VChart, more than just a cross-platform charting library, but also an expressive data storyteller.
Choose when you are in Flutter and want a grammar-of-graphics charting solution instead of D3 for web.
A grammar of data visualization and Flutter charting library.
Choose when you want a commercial-grade, feature-rich charting library with SVG/Canvas rendering and a friendly API.
The most advanced amCharts charting library for JavaScript and TypeScript apps.
Choose when you want a high-level visualization grammar with a statistical-chart-focused API instead of D3's imperative DOM manipulation.
📊 The concise and progressive visualization grammar.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose when you want to generate charts from the command line rather than embed a library.
Create charts from the command line
Choose when you want to build dashboards from YAML/JSON config files, an end-user tool rather than a code library.
:bar_chart: :clipboard: Dashboards using YAML or JSON files
These projects were analysed and named d3 among their alternatives. The relationship is not symmetric — how d3 rates them is a separate judgement, made when d3 is analysed in its own right.
calls d3 “Choose if you need full control over custom visualizations at a lower level than react-vis.”
Data Visualization Components
calls d3 “Choose for fully custom visualizations that need low-level DOM manipulation and data-binding control.”
📱📈An elegant, interactive and flexible charting library for mobile.
calls d3 “Choose when you need a low-level toolkit to build fully custom visualizations from primitives instead of using SandDance's ready-made exploration views.”
Visually explore, understand, and present your data.
calls d3 “when you want low-level building blocks to create fully custom visualizations instead of prebuilt components.”
A JavaScript library for real-time visualization