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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. ApexCharts vs Victory

ApexCharts vs Victory

OverviewComparisonAlternatives

Overview

Victory
Victory
Stacks44
Followers83
Votes0
GitHub Stars11.2K
Forks537
ApexCharts
ApexCharts
Stacks135
Followers238
Votes16
GitHub Stars15.0K
Forks1.4K

ApexCharts vs Victory: What are the differences?

Introduction

Both ApexCharts and Victory are charting libraries that can be used to create interactive and visually appealing charts for websites. However, there are several key differences between the two.

  1. Data Visualization Engine: ApexCharts uses SVG (Scalable Vector Graphics) to create charts, which allows for more flexibility and customization. On the other hand, Victory uses React components with a D3.js-based data visualization engine, which provides a powerful and efficient way of rendering charts.

  2. Ease of Use: ApexCharts offers a simpler and more intuitive API, making it easier to understand and implement. It provides a wide range of chart types with extensive options for customization. In contrast, Victory has a steeper learning curve due to its integration with React components, requiring some knowledge of React to effectively use and customize the charts.

  3. Interactivity and Animation: ApexCharts provides a rich set of interactive features and animations out-of-the-box. It supports zooming, panning, and hovering to interact with the data, and offers smooth and visually appealing animations for transitions. Victory also offers interactivity and animation options, but they require additional configuration and customization to achieve similar effects.

  4. Community Support and Documentation: ApexCharts has gained popularity and has a large and active community of users. This means that it has a wealth of documentation, examples, and community support available. Victory, while still popular, has a smaller community and fewer resources available in comparison.

  5. Compatibility: ApexCharts is designed to work with various frameworks and libraries, including React, Vue.js, and Angular, making it highly versatile and compatible. Victory, on the other hand, is specifically built for React, which might limit its usage in projects that utilize different frameworks.

  6. Features and Customization Options: ApexCharts offers a wide range of chart types and supports various features such as tooltips, legends, and data labels. It also allows extensive customization options, including color schemes, axis labeling, and grid configurations. Victory, while also offering a good range of chart types and customization options, may have some limitations in terms of specific features or customization requirements.

In summary, ApexCharts and Victory are both powerful charting libraries, with ApexCharts providing a more user-friendly API, broader community support, and wider compatibility, while Victory offers seamless integration with React components, providing a rich set of options for customization and interactivity.

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Detailed Comparison

Victory
Victory
ApexCharts
ApexCharts

A collection of composable React components for building interactive data visualizations.

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

Robust; Flexible; Native
-
Statistics
GitHub Stars
11.2K
GitHub Stars
15.0K
GitHub Forks
537
GitHub Forks
1.4K
Stacks
44
Stacks
135
Followers
83
Followers
238
Votes
0
Votes
16
Pros & Cons
No community feedback yet
Pros
  • 4
    Provides zooming capabilities
  • 4
    Interactive charts
  • 3
    Graphs renders in SVG
  • 3
    Open source with MIT license
  • 2
    Multiple chart types such as pie, bar, line and others
Cons
  • 4
    Slow rendering
Integrations
React
React
Vue.js
Vue.js
React
React
Angular
Angular

What are some alternatives to Victory, ApexCharts?

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.

Plotly.js

Plotly.js

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.

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.

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