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.

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.

Charts 4 PHP

Charts 4 PHP

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.

Categories:
Development Charting & Graphing
php charts graphs open-source

Charts 4 PHP Features

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

Pricing

  • Open Source

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

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