RGraph vs Matplotlib

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

RGraph is a Development solution with tags like charts, graphs, visualization, canvas.

It boasts features such as Supports many chart types like line, bar, pie, etc, Interactive and customizable charts, Animated charts, Zooming and panning, Tooltips, SVG and Canvas rendering, Works across browsers, Open source & free and pros including Easy to use, Very customizable, Good documentation, Active development, Lightweight, Free and open source.

On the other hand, Matplotlib is a Photos & Graphics product tagged with plotting, graphs, charts, visualization, python.

Its standout features include 2D plotting, Publication quality output, Support for many plot types (line, bar, scatter, histogram etc), Extensive customization options, IPython/Jupyter notebook integration, Animations and interactivity, LaTeX support for mathematical typesetting, and it shines with pros like Mature and feature-rich, Large user community and extensive documentation, Highly customizable, Integrates well with NumPy, Pandas and SciPy, Output can be saved to many file formats.

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.

RGraph

RGraph

RGraph is a JavaScript charting library that enables developers to easily create interactive, attractive charts and graphs for web pages. It supports many chart types like line, bar, pie and more.

Categories:
Development Javascript Libraries
charts graphs visualization canvas

RGraph Features

  1. Supports many chart types like line, bar, pie, etc
  2. Interactive and customizable charts
  3. Animated charts
  4. Zooming and panning
  5. Tooltips
  6. SVG and Canvas rendering
  7. Works across browsers
  8. Open source & free

Pricing

  • Open Source

Pros

Easy to use

Very customizable

Good documentation

Active development

Lightweight

Free and open source

Cons

Less chart types than some competitors

Smaller community than some alternatives

Canvas rendering can be slow with large datasets

Matplotlib

Matplotlib

Matplotlib is a comprehensive 2D plotting library for Python that allows users to create a wide variety of publication-quality graphs, charts, and visualizations. It integrates well with NumPy and Pandas data structures.

Categories:
Photos & Graphics Data Visualization
plotting graphs charts visualization python

Matplotlib Features

  1. 2D plotting
  2. Publication quality output
  3. Support for many plot types (line, bar, scatter, histogram etc)
  4. Extensive customization options
  5. IPython/Jupyter notebook integration
  6. Animations and interactivity
  7. LaTeX support for mathematical typesetting

Pricing

  • Open Source

Pros

Mature and feature-rich

Large user community and extensive documentation

Highly customizable

Integrates well with NumPy, Pandas and SciPy

Output can be saved to many file formats

Cons

Steep learning curve

Plotting code can be verbose

3D plotting support is limited

Cannot do web visualization (unlike Bokeh or Plotly)