Bokeh vs Smoothie Charts

Struggling to choose between Bokeh and Smoothie Charts? 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, Smoothie Charts is a Development product tagged with javascript, charting, streaming, visualization, realtime.

Its standout features include Real-time line, bar, scatter, spline and area charts, Optimized for high performance, Small code footprint, Streaming data visualization, Interactive charts, Time-series charts, Customizable styles, and it shines with pros like Fast and lightweight, Good for real-time data visualization, Easy to integrate, Open source and free.

Feature	Bokeh	Smoothie Charts
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.

Smoothie Charts

Description: Smoothie Charts is a JavaScript charting library for streaming data visualization. It is optimized for real-time line graphs but also supports bar, scatter, spline and area graphs. Smoothie Charts aims to provide high performance interactive charts with a small footprint.

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

Smoothie Charts Features

• Real-time line, bar, scatter, spline and area charts
• Optimized for high performance
• Small code footprint
• Streaming data visualization
• Interactive charts
• Time-series charts
• Customizable styles

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

Smoothie Charts

Pros

• Fast and lightweight
• Good for real-time data visualization
• Easy to integrate
• Open source and free

Cons

• Less chart types than some competitors
• Limited customization options
• Not ideal for static datasets

Pricing Comparison

Bokeh

• Open Source

Smoothie Charts

• Open Source