RAWGraphs vs Epoch Charting Library

Struggling to choose between RAWGraphs and Epoch Charting Library? 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, Epoch Charting Library is a Development product tagged with charting, data-visualization, interactive, open-source.

Its standout features include Supports various chart types like line, bar, pie, scatter, and area plots, Includes interactive features like tooltips, zooming, panning, Handles axis scaling, animations, and other common charting functionality, Customizable with CSS for styling, Modular architecture allows combining chart types, Open source JavaScript library, and it shines with pros like Easy to use API, Interactive and animated charts out of the box, Good documentation and examples, Customizable and extensible, Free and open source.

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 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


Epoch Charting Library

Epoch Charting Library

The Epoch Charting Library is an open-source JavaScript charting library for building interactive browser-based charts. It supports various chart types like line, bar, pie, scatter, and area plots. The library is designed to be easy to use with an intuitive API and handles things like axis scaling, interactivity, and animations out of the box.

Categories:
charting data-visualization interactive open-source

Epoch Charting Library Features

  1. Supports various chart types like line, bar, pie, scatter, and area plots
  2. Includes interactive features like tooltips, zooming, panning
  3. Handles axis scaling, animations, and other common charting functionality
  4. Customizable with CSS for styling
  5. Modular architecture allows combining chart types
  6. Open source JavaScript library

Pricing

  • Open Source
  • Free

Pros

Easy to use API

Interactive and animated charts out of the box

Good documentation and examples

Customizable and extensible

Free and open source

Cons

Less chart types than some commercial libraries

Smaller community than some alternatives

May require more custom code for advanced use cases

Not optimized for very large datasets