RAWGraphs vs Bokeh

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

RAWGraphs is a Data Visualization solution with tags like data-visualization, charts, graphs, spreadsheet, draganddrop.

It boasts features such as 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 pros including Intuitive and easy to use, Very flexible and customizable, Supports many visualization types, Free and open source, Works on any device with a browser.

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.

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.

RAWGraphs

RAWGraphs

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.

Categories:
Data Visualization Charting & Graphing
data-visualization charts graphs spreadsheet draganddrop

RAWGraphs Features

  1. Drag-and-drop interface for creating visualizations
  2. Supports various chart types like bar charts, scatter plots, dendrograms, chord diagrams
  3. Allows importing data from CSV and Excel files
  4. Customizable colors, fonts, sizes for all elements
  5. Ability to export visualizations as SVG, PNG, PDF
  6. Web-based so works across platforms and devices
  7. Open source and free to use

Pricing

  • Open Source

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

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