
An open-source JavaScript graphing library for creating interactive data visualizations.

Plotly.js is a high-level, declarative charting library built on top of d3.js and stack.gl. It offers over 40 chart types, including 3D charts, statistical graphs, and SVG maps. Charts are described as JSON objects, allowing full customization of colors, grid lines, and legends. The library supports both SVG and WebGL rendering for high performance, especially with the scattergl chart type, and all 3D charts use WebGL. Plotly.js can be used as a browser-based charting library for Python, R, and MATLAB, abstracting charts to a declarative JSON structure. It offers various events such as click, hover, and zoom. Plotly also offers Dash, a Python framework for building analytical web applications with interactive UI and easy deployment. Plotly's architecture supports both on-premise and cloud deployments.
Plotly.
Explore all tools that specialize in defining chart specifications (json). This domain focus ensures Plotly JavaScript delivers optimized results for this specific requirement.
Explore all tools that specialize in implementing click/hover/zoom events. This domain focus ensures Plotly JavaScript delivers optimized results for this specific requirement.
Explore all tools that specialize in using dash framework for ui creation. This domain focus ensures Plotly JavaScript delivers optimized results for this specific requirement.
Uses WebGL for rendering large datasets, providing significantly faster performance compared to SVG-based charts, particularly for scatter plots with many points.
Charts are defined using JSON objects, allowing developers to specify chart properties and data in a structured and easily manageable format.
Plotly Studio offers AI-driven features for exploring data and generating interactive apps with natural language prompting.
Seamless integration with Dash, a Python framework for building analytical web applications. Allows users to create interactive dashboards with Plotly.js charts.
Provides support for custom chart events like click, hover, and zoom, allowing developers to add interactive behaviors to charts.
Install Plotly.js via npm or include it via CDN.
Prepare your data in JSON or CSV format.
Define the chart layout and trace using JSON objects.
Use Plotly.newPlot() to render the chart in a specified HTML element.
Customize chart appearance and interactivity through JSON attributes.
Utilize event handlers to respond to user interactions.
All Set
Ready to go
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"Users praise Plotly.js for its versatility, interactive features, and ease of integration, but some mention a steep learning curve for advanced customization."
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