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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Recharts

Recharts

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.

Categories:
react charts svg dataviz

Recharts Features

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

Pricing

  • Open Source

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

Bokeh

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.

Categories:
python data-visualization interactive graphics web-browser

Bokeh Features

  1. Interactive data visualization
  2. Supports streaming data
  3. Python library
  4. Targets modern web browsers
  5. Elegant and concise graphics
  6. High-performance interactivity
  7. Can handle large datasets

Pricing

  • Open Source

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