Plotly vs DataHero

Struggling to choose between Plotly and DataHero? 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, DataHero is a Business & Commerce product tagged with data-visualization, dashboards, reports, analytics, business-intelligence.

Its standout features include Drag-and-drop interface for building dashboards, Pre-built dashboard templates, Connectors for databases, cloud apps, files, Ad-hoc reporting, Scheduled report delivery, Data blending from multiple sources, Collaboration tools, and it shines with pros like Intuitive interface for non-technical users, No coding required, Affordable pricing, Good selection of data connectors, Decent basic analysis and visualization capabilities.

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


DataHero

DataHero

DataHero is a business intelligence and analytics platform designed for non-technical users. It allows you to connect data from various sources, visualize it with dashboards and reports, and share insights with your team.

Categories:
data-visualization dashboards reports analytics business-intelligence

DataHero Features

  1. Drag-and-drop interface for building dashboards
  2. Pre-built dashboard templates
  3. Connectors for databases, cloud apps, files
  4. Ad-hoc reporting
  5. Scheduled report delivery
  6. Data blending from multiple sources
  7. Collaboration tools

Pricing

  • Freemium
  • Subscription-Based

Pros

Intuitive interface for non-technical users

No coding required

Affordable pricing

Good selection of data connectors

Decent basic analysis and visualization capabilities

Cons

Limited advanced analytics features

Less flexibility than coding-focused BI tools

Mobile app lacks some functionality

Steep learning curve for more complex tasks