Epoch Charting Library vs Bokeh

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

Epoch Charting Library is a Development solution with tags like charting, data-visualization, interactive, open-source.

It boasts features such as 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 pros including Easy to use API, Interactive and animated charts out of the box, Good documentation and examples, Customizable and extensible, Free and open source.

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

Product Overview

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.

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

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

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

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

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

Epoch Charting Library

• Open Source
• Free

Bokeh

• Open Source