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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. FusionCharts vs Plotly

FusionCharts vs Plotly

OverviewComparisonAlternatives

Overview

Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
FusionCharts
FusionCharts
Stacks23
Followers59
Votes0

FusionCharts vs Plotly: What are the differences?

  1. Customization Options: FusionCharts provides a wide range of customization options for charts and graphs, including themes, colors, and fonts, allowing for enhanced visual appeal and branding. In contrast, Plotly offers more flexibility in terms of customization with its open-source JavaScript library, allowing users to create highly customized visualizations through code.

  2. Interactivity Features: FusionCharts offers several interactive features such as tooltips, drill-down capabilities, and real-time updates, enhancing user engagement and data exploration. On the other hand, Plotly provides advanced interactivity features like hover effects, click events, and linked brushing, enabling users to have a more dynamic and engaging data visualization experience.

  3. Data Integration: FusionCharts supports multiple data formats, including XML, JSON, and CSV, making it easier for users to integrate their data into the charts. Plotly, however, has a robust data integration capability with support for a wide range of data sources such as Excel, SQL databases, and REST APIs, allowing users to seamlessly connect and visualize their data.

  4. Community Support and Documentation: FusionCharts has a dedicated community forum and comprehensive documentation to provide support and resources for users to troubleshoot issues and learn how to use the tool effectively. Plotly also has an active community and extensive documentation but excels in user support through its online forums, tutorials, and code examples, making it easier for users to get started with the platform.

  5. Compatibility and Integration: FusionCharts can be easily integrated with popular programming languages like JavaScript, PHP, and Python, making it suitable for a wide range of web development projects. Plotly also offers compatibility with various programming languages but stands out with its seamless integration with Jupyter notebooks, making it a preferred choice for data scientists and researchers working in Python environments.

  6. Licensing and Pricing: FusionCharts offers both free and paid licensing options, with limitations on features and functionalities in the free version. In contrast, Plotly follows an open-source model for its basic functionality, allowing free usage and customization, while offering premium services for advanced features and support, catering to the needs of both individual users and enterprises.

In Summary, FusionCharts and Plotly differ in customization options, interactivity features, data integration capabilities, community support, compatibility, and pricing models.

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Detailed Comparison

Plotly.js
Plotly.js
FusionCharts
FusionCharts

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

It is the most comprehensive JavaScript charting library, with over 100+ charts and 2000+ maps. Integrated with all popular JavaScript frameworks and server-side programming languages. Create interactive JavaScript charts for your web and enterprise applications.

Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
100+ Interactive Charts;2,000+ Data-driven Maps;Easily Integrate with any JavaScript framework ;Easily Integrate server-side programming language
Statistics
GitHub Stars
17.9K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
399
Stacks
23
Followers
694
Followers
59
Votes
69
Votes
0
Pros & Cons
Pros
  • 16
    Bindings to popular languages like Python, Node, R, etc
  • 10
    Integrated zoom and filter-out tools in charts and maps
  • 9
    Great support for complex and multiple axes
  • 8
    Powerful out-of-the-box featureset
  • 6
    Beautiful visualizations
Cons
  • 18
    Terrible document
Cons
  • 1
    Not free
Integrations
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
React
React
Ember.js
Ember.js
AngularJS
AngularJS
PHP
PHP
Java
Java
Svelte
Svelte
React Native
React Native
Django
Django
Vue.js
Vue.js
Ruby
Ruby

What are some alternatives to Plotly.js, FusionCharts?

D3.js

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Highcharts

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

ApexCharts

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

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