Plotly vs Chart Templates

Struggling to choose between Plotly and Chart Templates? 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, Chart Templates is a Office & Productivity product tagged with charts, graphs, templates, presentations, reports, infographics.

Its standout features include Pre-made chart and graph templates, Customizable templates, Creates professional data visualizations, Suitable for reports, presentations, infographics, and more, Drag-and-drop functionality, Wide range of chart types, Collaboration and sharing features, Export options (e.g., PNG, SVG, PDF), and it shines with pros like Saves time and effort in creating data visualizations, Provides high-quality, professional-looking charts, Customizable templates allow for flexibility, Collaborative features enable team-based work, Variety of chart types to choose from.

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


Chart Templates

Chart Templates

Chart Templates is a software that provides pre-made chart and graph templates that can be customized. It helps create professional data visualizations quickly for reports, presentations, infographics and more.

Categories:
charts graphs templates presentations reports infographics

Chart Templates Features

  1. Pre-made chart and graph templates
  2. Customizable templates
  3. Creates professional data visualizations
  4. Suitable for reports, presentations, infographics, and more
  5. Drag-and-drop functionality
  6. Wide range of chart types
  7. Collaboration and sharing features
  8. Export options (e.g., PNG, SVG, PDF)

Pricing

  • Freemium
  • Subscription-Based

Pros

Saves time and effort in creating data visualizations

Provides high-quality, professional-looking charts

Customizable templates allow for flexibility

Collaborative features enable team-based work

Variety of chart types to choose from

Cons

Limited customization options compared to building charts from scratch

May have a learning curve for users unfamiliar with the software

Some advanced features may be locked behind paid tiers