ZoomCharts vs Bokeh

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

ZoomCharts is a Office & Productivity solution with tags like charts, dashboards, data-visualization, javascript.

It boasts features such as Over 90 chart types including line, bar, pie, map, etc, Responsive design, Animation and interactivity, Custom styling and themes, Data binding and real-time updates, Exporting charts as images or PDF, Drill down, zooming and panning, Touch support and gestures, Tree maps and heat maps, Chart linking and synchronization and pros including Large selection of chart types, Easy to integrate into web apps, Very customizable and flexible, Good performance with large datasets, Active development and support.

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	ZoomCharts	Bokeh
Overall Score	N/A	N/A
Primary Category	Office & Productivity	Development

Product Overview

ZoomCharts

Description: ZoomCharts is a JavaScript charting library for creating interactive data visualizations and dashboards for web applications. It offers over 90 chart types including line, bar, pie, map, and more. Key features include responsive design, animation, custom styling, exporting, and data binding.

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

ZoomCharts Features

• Over 90 chart types including line, bar, pie, map, etc
• Responsive design
• Animation and interactivity
• Custom styling and themes
• Data binding and real-time updates
• Exporting charts as images or PDF
• Drill down, zooming and panning
• Touch support and gestures
• Tree maps and heat maps
• Chart linking and synchronization

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

ZoomCharts

Pros

• Large selection of chart types
• Easy to integrate into web apps
• Very customizable and flexible
• Good performance with large datasets
• Active development and support

Cons

• Steep learning curve
• Limited documentation
• Expensive for full featured license
• Lacks some advanced analytics features

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

ZoomCharts

• Free
• Subscription-Based

Bokeh

• Open Source