Plotly vs Atlas charts

Struggling to choose between Plotly and Atlas charts? 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, Atlas charts is a Business & Commerce product tagged with charts, dashboards, data-visualization, analytics.

Its standout features include Interactive JavaScript charts and dashboards, Drag-and-drop interface for building visualizations, Connect to various data sources like SQL, MongoDB, REST APIs, Real-time data streaming, Customizable themes and styles, Collaboration tools like annotations and comments, Mobile optimization and offline mode, and it shines with pros like More affordable than Tableau, Full customization of visuals, Fast and intuitive for ad hoc analysis, Lightweight and easy deployment, Strong 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.

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


Atlas charts

Atlas charts

Atlas charts is an alternative data visualization software to Tableau with interactive JS charts and dashboards. Allows fast visual analysis at a lower cost and with full customization options.

Categories:
charts dashboards data-visualization analytics

Atlas charts Features

  1. Interactive JavaScript charts and dashboards
  2. Drag-and-drop interface for building visualizations
  3. Connect to various data sources like SQL, MongoDB, REST APIs
  4. Real-time data streaming
  5. Customizable themes and styles
  6. Collaboration tools like annotations and comments
  7. Mobile optimization and offline mode

Pricing

  • Freemium
  • Subscription-Based

Pros

More affordable than Tableau

Full customization of visuals

Fast and intuitive for ad hoc analysis

Lightweight and easy deployment

Strong community support

Cons

Less out-of-box functionality than Tableau

Steeper learning curve for advanced analysis

Limited enterprise features like governance

Not ideal for non-technical users