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.

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.

Epoch Charting Library

Epoch Charting Library

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.

Categories:
Development Javascript Libraries
charting data-visualization interactive open-source

Epoch Charting Library Features

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

Pricing

  • Open Source
  • Free

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

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:
Development Data Visualization
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