Plotly vs GGobi

Struggling to choose between Plotly and GGobi? 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, GGobi is a Data Visualization product tagged with data-visualization, exploratory-analysis, highdimensional-data, scatterplots, tours.

Its standout features include Interactive and dynamic graphics, Linked, coordinated views, Grand tours, Projection pursuit, Dimension reduction methods like PCA, Brushing and identification, Glyphs, and it shines with pros like Open source and free, Powerful and flexible visualization capabilities, Allows exploration of high-dimensional datasets, Linked, coordinated views make it easy to explore relationships, Support for large datasets.

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:
Data Visualization Interactive Charting
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

GGobi

GGobi

GGobi is an open-source data visualization software used for interactive exploratory data analysis. It allows users to visualize high-dimensional datasets with scatterplots, parallel plots, tours, and dimension reduction methods like principal components analysis and grand tours.

Categories:
Data Visualization Exploratory Data Analysis
data-visualization exploratory-analysis highdimensional-data scatterplots tours

GGobi Features

  1. Interactive and dynamic graphics
  2. Linked, coordinated views
  3. Grand tours
  4. Projection pursuit
  5. Dimension reduction methods like PCA
  6. Brushing and identification
  7. Glyphs

Pricing

  • Open Source

Pros

Open source and free

Powerful and flexible visualization capabilities

Allows exploration of high-dimensional datasets

Linked, coordinated views make it easy to explore relationships

Support for large datasets

Cons

Steep learning curve

Limited documentation and support

Development seems to have stalled in recent years

Some stability issues

Lacks features of newer visualization tools