Open Flash Chart vs Bokeh

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

Open Flash Chart is a Development solution with tags like charting, flash, javascript, opensource.

It boasts features such as 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 pros including Very customizable and flexible, Good documentation and examples, Lightweight and fast, Supportive community behind it, 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.

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

Product Overview

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.

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

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

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

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

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

Open Flash Chart

• Open Source

Bokeh

• Open Source