Recharts vs Bokeh

Struggling to choose between Recharts and Bokeh? Both products offer unique advantages, making it a tough decision.

Recharts is a Development solution with tags like react, charts, svg, dataviz.

It boasts features such as Supports various chart types like line, bar, pie, radar, scatter, treemap etc, Offers responsive and interactive charts, Supports SVG based rendering for better performance, Highly customizable with props for charts, axes, legends, tooltips etc, Isomorphic/Universal - server side rendering support, Works with React Native, Hooks API available, Good documentation and pros including Open source and free, Easy to use and integrate, Good performance, Very customizable, Supports animation and interactivity, Large number of examples and components, Active development and maintenance.

On the other hand, Bokeh is a Development product tagged with python, data-visualization, interactive, graphics, web-browser.

Its standout features include Interactive data visualization, Supports streaming data, Python library, Targets modern web browsers, Elegant and concise graphics, High-performance interactivity, Can handle large datasets, and it shines with pros like Very flexible and customizable visualizations, Integrates well with other Python data tools like NumPy and Pandas, Open source and free, Good performance even with large datasets, Nice web-based interface for sharing visualizations.

Feature	Recharts	Bokeh
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Recharts

Description: Recharts is a popular React charting library for building data visualizations. It offers many customizable chart types including line, bar, pie, radar, treemap and more. Recharts is easy to use, responsive, interactive and leverages SVG for rendering.

Bokeh

Description: Bokeh is an interactive data visualization library for Python that targets modern web browsers for presentation. It offers elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.

Key Features Comparison

Recharts Features

• Supports various chart types like line, bar, pie, radar, scatter, treemap etc
• Offers responsive and interactive charts
• Supports SVG based rendering for better performance
• Highly customizable with props for charts, axes, legends, tooltips etc
• Isomorphic/Universal - server side rendering support
• Works with React Native
• Hooks API available
• Good documentation

Bokeh Features

• Interactive data visualization
• Supports streaming data
• Python library
• Targets modern web browsers
• Elegant and concise graphics
• High-performance interactivity
• Can handle large datasets

Pros & Cons Analysis

Recharts

Pros

• Open source and free
• Easy to use and integrate
• Good performance
• Very customizable
• Supports animation and interactivity
• Large number of examples and components
• Active development and maintenance

Cons

• Less chart types compared to some commercial libraries
• Steeper learning curve than wrappers like react-chartjs-2
• Not as feature rich as D3.js
• Limited built-in themes

Bokeh

Pros

• Very flexible and customizable visualizations
• Integrates well with other Python data tools like NumPy and Pandas
• Open source and free
• Good performance even with large datasets
• Nice web-based interface for sharing visualizations

Cons

• Steeper learning curve than some visualization libraries
• Visualizations can be more complex to build
• Limited built-in statistical analysis features
• Requires knowledge of Python and web development
• Not as simple as drag-and-drop visualization builders

Pricing Comparison

Recharts

• Open Source

Bokeh

• Open Source