Plotly vs Atlas charts

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

Plotly icon
Plotly
Atlas charts icon
Atlas charts

Expert Analysis & Comparison

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.

Why Compare Plotly and Atlas charts?

When evaluating Plotly versus Atlas charts, both solutions serve different needs within the data visualization ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

Plotly and Atlas charts have established themselves in the data visualization market. Key areas include python, r, javascript.

Technical Architecture & Implementation

The architectural differences between Plotly and Atlas charts significantly impact implementation and maintenance approaches. Related technologies include python, r, javascript, excel.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include python, r and charts, dashboards.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between Plotly and Atlas charts. You might also explore python, r, javascript for alternative approaches.

Feature Plotly Atlas charts
Overall Score N/A N/A
Primary Category Data Visualization Business & Commerce
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

Plotly
Plotly

Description: 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.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

Atlas charts
Atlas charts

Description: 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.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

Plotly
Plotly Features
  • Interactive data visualization
  • Support for Python, R, JavaScript, Excel
  • 2D and 3D plotting
  • Statistical charts
  • Dashboards
  • Collaboration tools
  • Exporting and sharing
Atlas charts
Atlas charts Features
  • 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

Pros & Cons Analysis

Plotly
Plotly
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
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

Pricing Comparison

Plotly
Plotly
  • Freemium
  • Subscription-based
Atlas charts
Atlas charts
  • Freemium
  • Subscription-Based

Get More Information

Plotly
Plotly
Plotly
Learn More About Plotly
Atlas charts
Atlas charts
Atlas charts
Learn More About Atlas charts

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