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Plotly Alternatives for Windows

Looking for Plotly alternatives? We've curated 7 top alternatives that offer similar functionality. Whether you need Windows options, free plans, or open source solutions, explore our comprehensive list to find the perfect fit for your needs.

Tableau

Tableau

Commercial

Tableau is a leading data visualization and business intelligence platform that empowers users to explore, analyze, and share insights from their data quickly and effectively. It offers intuitive drag-and-drop interfaces, powerful analytics capabilities, and seamless integration with various data sources.

Key Features

  • Highly intuitive drag-and-drop interface for easy visualization creation.
  • Extensive connectivity to a wide variety of data sources.
  • Powerful analytical capabilities for in-depth data exploration.

vs Plotly

Highly intuitive drag-and-drop interface for easy visualization creation. compared to Plotly
Matplotlib

Matplotlib

Open Source

Matplotlib is a comprehensive plotting library for Python, enabling the creation of static, animated, and interactive visualizations in a variety of formats. It is widely used in scientific computing and data analysis.

Key Features

  • High degree of customization for plots.
  • Supports a vast array of plot types.
  • Excellent integration with NumPy and other scientific libraries.

vs Plotly

High degree of customization for plots. compared to Plotly
AnyChart

AnyChart

Commercial

AnyChart provides comprehensive JavaScript charting libraries for creating interactive data visualizations. It offers a range of tools including charts, stock charts, maps, and Gantt charts, catering to various data visualization needs across platforms.

Key Features

  • Extensive range of chart types and visualization tools.
  • Comprehensive libraries for charts, stock, maps, and Gantt.
  • High level of customization through a detailed API.

vs Plotly

Extensive range of chart types and visualization tools. compared to Plotly
FusionCharts Suite XT

FusionCharts Suite XT is a comprehensive JavaScript charting library providing developers with a powerful and flexible solution for creating interactive and visually appealing data visualizations across various web applications and devices.

Key Features

  • Extensive library of chart types
  • Easy integration with popular frameworks
  • Good performance with large datasets

vs Plotly

Extensive library of chart types compared to Plotly
NVD3

NVD3

Open Source

NVD3 is a powerful JavaScript charting library built on top of d3.js, providing a collection of reusable chart models to easily create complex interactive visualizations for web applications. It simplifies the process of generating common chart types without sacrificing the flexibility and power of d3.js.

Key Features

  • Simplifies D3.js charting for common types
  • Provides reusable chart models
  • Includes built-in interactivity features

vs Plotly

Simplifies D3.js charting for common types compared to Plotly
Origin

Origin

Commercial

Origin is a powerful data analysis and graphing software widely used in scientific and engineering fields for creating publication-quality graphs and performing sophisticated data analysis.

Key Features

  • Produces high-quality, publication-ready graphs with extensive customization options.
  • Comprehensive suite of data analysis tools, including fitting, statistics, and signal processing.
  • Supports scripting (Origin C, LabTalk, Python) for automation and custom workflows.

vs Plotly

Produces high-quality, publication-ready graphs with extensive customization options. compared to Plotly
RAWGraphs

RAWGraphs

Open Source

RAWGraphs is an open-source web application designed to simplify the creation of complex data visualizations. It bridges the gap between spreadsheet software and vector graphics editors, allowing users to map data columns to visual variables and export custom charts for further refinement or integration.

Key Features

  • Easy-to-use drag-and-drop interface for data mapping.
  • Wide variety of chart types, including less common ones.
  • High-quality vector (SVG) export for scalable graphics.

vs Plotly

Easy-to-use drag-and-drop interface for data mapping. compared to Plotly

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