Bokeh vs Open Flash Chart

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

Bokeh is a Development solution with tags like python, data-visualization, interactive, graphics, web-browser.

It boasts features such as Interactive data visualization, Supports streaming data, Python library, Targets modern web browsers, Elegant and concise graphics, High-performance interactivity, Can handle large datasets and pros including 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.

On the other hand, Open Flash Chart is a Development product tagged with charting, flash, javascript, opensource.

Its standout features include Supports various chart types like bar, pie, line etc., Interactive and animated Flash charts, Customizable with options for colors, labels, tooltips etc., Works with JSON and XML data sources, Library is open source and free to use, and it shines with pros like Very customizable and flexible, Good documentation and examples, Lightweight and fast, Supportive community behind it, Free and open source.

Feature	Bokeh	Open Flash Chart
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

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.

Open Flash Chart

Description: Open Flash Chart is an open source JavaScript charting library that allows developers to create interactive Flash charts. It supports various chart types like bar charts, pie charts, line charts etc. and works well for displaying dynamic data visualizations on websites.

Key Features Comparison

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

Open Flash Chart Features

• Supports various chart types like bar, pie, line etc.
• Interactive and animated Flash charts
• Customizable with options for colors, labels, tooltips etc.
• Works with JSON and XML data sources
• Library is open source and free to use

Pros & Cons Analysis

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

Open Flash Chart

Pros

• Very customizable and flexible
• Good documentation and examples
• Lightweight and fast
• Supportive community behind it
• Free and open source

Cons

• Relies on Flash which is being phased out
• Not as full-featured as some commercial libraries
• Limited options for advanced customization
• Not optimized for mobile devices
• Development seems to have stalled

Pricing Comparison

Bokeh

• Open Source

Open Flash Chart

• Open Source