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.

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.

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

Open Flash Chart

Open Flash Chart

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.

Categories:
Development Data Visualization
charting flash javascript opensource

Open Flash Chart Features

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

Pricing

  • Open Source

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