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  1. Stackups
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  4. Charting Libraries
  5. Chart.js vs Frappé Charts

Chart.js vs Frappé Charts

OverviewDecisionsComparisonAlternatives

Overview

Chart.js
Chart.js
Stacks2.0K
Followers786
Votes44
GitHub Stars66.7K
Forks12.0K
Frappé Charts
Frappé Charts
Stacks7
Followers16
Votes2
GitHub Stars15.1K
Forks751

Chart.js vs Frappé Charts: What are the differences?

Introduction

Chart.js and Frappé Charts are both popular open-source JavaScript libraries used for creating interactive and visually appealing charts and graphs on websites. While they share some similarities, there are several key differences between these two libraries. In this analysis, we will discuss six notable differences that set Chart.js and Frappé Charts apart.

  1. Features: Chart.js offers a wide range of chart types, including bar charts, line charts, pie charts, and more. It provides comprehensive customization options and interactivity features such as tooltips and animations. On the other hand, Frappé Charts focuses on creating concise and interactive charts, primarily targeting time-series and Gantt charts. It provides features like zooming, panning, data labels, and chart overlays, making it ideal for complex data representations.

  2. Learning Curve: Chart.js is generally considered more beginner-friendly due to its simpler syntax and extensive documentation. It follows a traditional HTML canvas approach and is well-suited for developers who are new to charting libraries. In contrast, Frappé Charts has a steeper learning curve as it leverages SVG (Scalable Vector Graphics) instead of the canvas. It may require more in-depth knowledge of SVG and JavaScript for advanced customization.

  3. Community and Support: Chart.js has a large and active community that actively maintains and updates the library. It boasts a vast number of plugins and resources created by the community. Frappé Charts, being a relatively newer library, has a smaller community but still provides reliable support and regular updates. While both libraries have documentation and GitHub repositories, Chart.js has a more extensive user base, resulting in more readily available resources and solutions.

  4. Integration and Compatibility: Chart.js seamlessly integrates with other JavaScript frameworks like React, Angular, and Vue.js through dedicated wrappers and bindings. It also supports responsive design, making it adaptable to different screen sizes. Frappé Charts, on the other hand, is primarily designed to work with the Frappé framework, which is built on top of Flask. It may require additional effort to integrate with other frameworks or technologies, although it can still be used as a standalone library.

  5. Customization and Styling: Chart.js offers a vast range of customization options, enabling developers to modify various aspects of the charts such as color, fonts, labels, and tooltips. It provides a plugin architecture that allows extending the functionality and appearance of the charts. Frappé Charts, although it provides a decent amount of customization, has a more limited set of styling options compared to Chart.js. It focuses on providing a consistent and clean design aesthetic, which may be preferred in certain scenarios.

  6. Data Handling: In terms of data handling, Chart.js provides a straightforward approach by using arrays or JSON objects to supply data directly to the charts. It also supports real-time data updates, making it suitable for dynamic applications. Frappé Charts, on the other hand, is specifically designed to handle time-series data and provides built-in functionality for aggregating and grouping data based on time intervals. It is optimized for rendering large datasets efficiently and provides smooth navigation through time-series data.

In summary, Chart.js and Frappé Charts differ in terms of features, learning curve, community support, integration, customization, and data handling. While Chart.js offers a wider range of chart types and easier adoption for beginners, Frappé Charts excels in handling time-series data and provides advanced interactive features. The choice between the two libraries ultimately depends on the specific requirements and preferences of the project.

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Advice on Chart.js, Frappé Charts

Shaik
Shaik

Feb 18, 2020

Needs advice

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

246k views246k
Comments
Sudhan
Sudhan

Dec 23, 2019

Needs advice

I'm developing angular 8 application, I need to create a dynamic, custom charts based on the data, Charts options will be configured with a user input form. at any time users can edit and modify the chart options. even I dont know how many charts I have to create everything is dynamic. ( based on the user configuration chart counts will vary ). I need some suggestions on which chart will give these kinds of flexible options.

42.8k views42.8k
Comments

Detailed Comparison

Chart.js
Chart.js
Frappé Charts
Frappé Charts

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

📊🍩📈 Simple, responsive, modern SVG Charts with zero dependencies

animated;HTML5 based;Responsive;Modular;Bar;Doughnut;Radar;Line;Polar Area;Interactive
-
Statistics
GitHub Stars
66.7K
GitHub Stars
15.1K
GitHub Forks
12.0K
GitHub Forks
751
Stacks
2.0K
Stacks
7
Followers
786
Followers
16
Votes
44
Votes
2
Pros & Cons
Pros
  • 19
    Offers all types of charts
  • 14
    Interactive Charts
  • 10
    It's totally free
Cons
  • 12
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free
Pros
  • 1
    SVG based
  • 1
    Small bundlesize
Integrations
React
React
AngularJS
AngularJS
No integrations available

What are some alternatives to Chart.js, Frappé Charts?

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.

Underscore

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

Deno

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

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.

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.

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