Plotly vs RAWGraphs

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
RAWGraphs icon
RAWGraphs

Expert Analysis & Comparison

Struggling to choose between Plotly and RAWGraphs? 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, RAWGraphs is a Data Visualization product tagged with data-visualization, charts, graphs, spreadsheet, draganddrop.

Its standout features include Drag-and-drop interface for creating visualizations, Supports various chart types like bar charts, scatter plots, dendrograms, chord diagrams, Allows importing data from CSV and Excel files, Customizable colors, fonts, sizes for all elements, Ability to export visualizations as SVG, PNG, PDF, Web-based so works across platforms and devices, Open source and free to use, and it shines with pros like Intuitive and easy to use, Very flexible and customizable, Supports many visualization types, Free and open source, Works on any device with a browser.

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 RAWGraphs?

When evaluating Plotly versus RAWGraphs, 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 RAWGraphs have established themselves in the data visualization market. Key areas include python, r, javascript.

Technical Architecture & Implementation

The architectural differences between Plotly and RAWGraphs 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 data-visualization, charts.

Decision Framework

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

Feature Plotly RAWGraphs
Overall Score N/A N/A
Primary Category Data Visualization Data Visualization
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

RAWGraphs
RAWGraphs

Description: RAWGraphs is an open-source data visualization software that allows users to create a variety of charts and graphs from spreadsheet data. It has an intuitive drag-and-drop interface for easily customizing visualizations.

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
RAWGraphs
RAWGraphs Features
  • Drag-and-drop interface for creating visualizations
  • Supports various chart types like bar charts, scatter plots, dendrograms, chord diagrams
  • Allows importing data from CSV and Excel files
  • Customizable colors, fonts, sizes for all elements
  • Ability to export visualizations as SVG, PNG, PDF
  • Web-based so works across platforms and devices
  • Open source and free to use

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
RAWGraphs
RAWGraphs
Pros
  • Intuitive and easy to use
  • Very flexible and customizable
  • Supports many visualization types
  • Free and open source
  • Works on any device with a browser
Cons
  • Limited chart types compared to advanced data viz tools
  • Less control over fine details than programming libraries
  • Need to import data each time rather than connect to live data sources
  • Only creates static visualizations rather than interactive dashboards

Pricing Comparison

Plotly
Plotly
  • Freemium
  • Subscription-based
RAWGraphs
RAWGraphs
  • Open Source

Get More Information

Plotly
Plotly
Plotly
Learn More About Plotly
RAWGraphs
RAWGraphs
RAWGraphs
Learn More About RAWGraphs

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