Vis.js vs Plotly

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

Vis.js is a Data Visualization solution with tags like data-visualization, graphs, networks, timelines.

It boasts features such as Network graphs, Timelines, Graph2d, Graph3d and pros including Open source, Good documentation, Active community, Integrates well with web apps.

On the other hand, Plotly is a Data Visualization product tagged with python, r, javascript, excel, data-analysis, data-visualization, interactive, charts, graphs, dashboards.

Its standout features include Interactive data visualization, Support for Python, R, JavaScript, Excel, 2D and 3D plotting, Statistical charts, Dashboards, Collaboration tools, Exporting and sharing, and it shines with pros like User-friendly, High-quality visualizations, Cross-platform compatibility, Open source and free, Large gallery of examples, Active community support.

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.

Vis.js

Vis.js

Vis.js is a dynamic, browser based visualization library. It offers utilities for data visualizations like timelines, networks and graphs out of the box. It's easy to get started with and integrates well with web applications.

Categories:
Data Visualization Javascript Libraries
data-visualization graphs networks timelines

Vis.js Features

  1. Network graphs
  2. Timelines
  3. Graph2d
  4. Graph3d

Pricing

  • Open Source

Pros

Open source

Good documentation

Active community

Integrates well with web apps

Cons

Steep learning curve

Not suitable for large datasets

Limited customization options

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