Bokeh vs Epoch Charting Library

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

Bokeh is a Development solution with tags like python, data-visualization, interactive, graphics, web-browser.

It boasts features such as Interactive data visualization, Supports streaming data, Python library, Targets modern web browsers, Elegant and concise graphics, High-performance interactivity, Can handle large datasets and pros including 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.

On the other hand, Epoch Charting Library is a Development product tagged with charting, data-visualization, interactive, open-source.

Its standout features include Supports various chart types like line, bar, pie, scatter, and area plots, Includes interactive features like tooltips, zooming, panning, Handles axis scaling, animations, and other common charting functionality, Customizable with CSS for styling, Modular architecture allows combining chart types, Open source JavaScript library, and it shines with pros like Easy to use API, Interactive and animated charts out of the box, Good documentation and examples, Customizable and extensible, Free and open source.

Feature	Bokeh	Epoch Charting Library
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

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.

Epoch Charting Library

Description: The Epoch Charting Library is an open-source JavaScript charting library for building interactive browser-based charts. It supports various chart types like line, bar, pie, scatter, and area plots. The library is designed to be easy to use with an intuitive API and handles things like axis scaling, interactivity, and animations out of the box.

Key Features Comparison

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

Epoch Charting Library Features

• Supports various chart types like line, bar, pie, scatter, and area plots
• Includes interactive features like tooltips, zooming, panning
• Handles axis scaling, animations, and other common charting functionality
• Customizable with CSS for styling
• Modular architecture allows combining chart types
• Open source JavaScript library

Pros & Cons Analysis

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

Epoch Charting Library

Pros

• Easy to use API
• Interactive and animated charts out of the box
• Good documentation and examples
• Customizable and extensible
• Free and open source

Cons

• Less chart types than some commercial libraries
• Smaller community than some alternatives
• May require more custom code for advanced use cases
• Not optimized for very large datasets

Pricing Comparison

Bokeh

• Open Source

Epoch Charting Library

• Open Source
• Free