Charts 4 PHP vs Bokeh

Struggling to choose between Charts 4 PHP and Bokeh? Both products offer unique advantages, making it a tough decision.

Charts 4 PHP is a Development solution with tags like php, charts, graphs, open-source.

It boasts features such as Supports various chart types like line, bar, pie, doughnut, radar etc, Interactive charts with zooming, panning and tooltip support, Customizable axis, legends, tooltips, colors, fonts etc, Supports multiple data formats like JSON, XML, CSV etc, Can export charts as images, Open source and free to use and pros including Free and open source, Easy to integrate into PHP projects, Good documentation and examples, Active development and support, Customizable and extensible, Supports multiple data sources.

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	Charts 4 PHP	Bokeh
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Charts 4 PHP

Description: Charts 4 PHP is an open-source PHP charting library that allows developers to create interactive charts and graphs. It supports various chart types like line, bar, pie and more. Easy to integrate and customize.

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

Charts 4 PHP Features

• Supports various chart types like line, bar, pie, doughnut, radar etc
• Interactive charts with zooming, panning and tooltip support
• Customizable axis, legends, tooltips, colors, fonts etc
• Supports multiple data formats like JSON, XML, CSV etc
• Can export charts as images
• Open source and free to use

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

Charts 4 PHP

Pros

• Free and open source
• Easy to integrate into PHP projects
• Good documentation and examples
• Active development and support
• Customizable and extensible
• Supports multiple data sources

Cons

• Limited chart types compared to commercial libraries
• Steep learning curve for advanced customization
• Not suitable for very large datasets
• Only supports PHP

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

Charts 4 PHP

• Open Source

Bokeh

• Open Source