Smoothie Charts vs Bokeh

Struggling to choose between Smoothie Charts and Bokeh? Both products offer unique advantages, making it a tough decision.

Smoothie Charts is a Development solution with tags like javascript, charting, streaming, visualization, realtime.

It boasts features such as 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 pros including Fast and lightweight, Good for real-time data visualization, Easy to integrate, Open source and free.

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	Smoothie Charts	Bokeh
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

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.

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

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

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

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

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

Smoothie Charts

• Open Source

Bokeh

• Open Source