Bokeh vs RAWGraphs

Struggling to choose between Bokeh and RAWGraphs? 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, RAWGraphs is a Data Visualization product tagged with data-visualization, charts, graphs, spreadsheet, draganddrop.

Its standout features include Drag-and-drop interface for creating visualizations, Supports various chart types like bar charts, scatter plots, dendrograms, chord diagrams, Allows importing data from CSV and Excel files, Customizable colors, fonts, sizes for all elements, Ability to export visualizations as SVG, PNG, PDF, Web-based so works across platforms and devices, Open source and free to use, and it shines with pros like Intuitive and easy to use, Very flexible and customizable, Supports many visualization types, Free and open source, Works on any device with a browser.

Feature	Bokeh	RAWGraphs
Overall Score	N/A	N/A
Primary Category	Development	Data Visualization

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.

RAWGraphs

Description: RAWGraphs is an open-source data visualization software that allows users to create a variety of charts and graphs from spreadsheet data. It has an intuitive drag-and-drop interface for easily customizing visualizations.

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

RAWGraphs Features

• Drag-and-drop interface for creating visualizations
• Supports various chart types like bar charts, scatter plots, dendrograms, chord diagrams
• Allows importing data from CSV and Excel files
• Customizable colors, fonts, sizes for all elements
• Ability to export visualizations as SVG, PNG, PDF
• Web-based so works across platforms and devices
• 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

RAWGraphs

Pros

• Intuitive and easy to use
• Very flexible and customizable
• Supports many visualization types
• Free and open source
• Works on any device with a browser

Cons

• Limited chart types compared to advanced data viz tools
• Less control over fine details than programming libraries
• Need to import data each time rather than connect to live data sources
• Only creates static visualizations rather than interactive dashboards

Pricing Comparison

Bokeh

• Open Source

RAWGraphs

• Open Source