Plotly vs RAWGraphs

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

Plotly is a Data Visualization solution with tags like python, r, javascript, excel, data-analysis, data-visualization, interactive, charts, graphs, dashboards.

It boasts features such as Interactive data visualization, Support for Python, R, JavaScript, Excel, 2D and 3D plotting, Statistical charts, Dashboards, Collaboration tools, Exporting and sharing and pros including User-friendly, High-quality visualizations, Cross-platform compatibility, Open source and free, Large gallery of examples, Active community support.

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.

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.

Plotly

Plotly

Plotly is an open-source graphing library for Python, R, JavaScript, and Excel. It allows users to create interactive, publication-quality graphs, charts, and dashboards that can be embedded in websites and apps. Plotly is useful for data analysis and visualization.

Categories:
python r javascript excel data-analysis data-visualization interactive charts graphs dashboards

Plotly Features

  1. Interactive data visualization
  2. Support for Python, R, JavaScript, Excel
  3. 2D and 3D plotting
  4. Statistical charts
  5. Dashboards
  6. Collaboration tools
  7. Exporting and sharing

Pricing

  • Freemium
  • Subscription-based

Pros

User-friendly

High-quality visualizations

Cross-platform compatibility

Open source and free

Large gallery of examples

Active community support

Cons

Steep learning curve

Limited customization compared to matplotlib

Online dependency for full functionality

Freemium pricing model limits features


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 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