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  1. Stackups
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  5. KoolChart vs React Timeseries Charts

KoolChart vs React Timeseries Charts

OverviewComparisonAlternatives

Overview

KoolChart
KoolChart
Stacks1
Followers3
Votes0
React Timeseries Charts
React Timeseries Charts
Stacks6
Followers26
Votes0
GitHub Stars875
Forks281

KoolChart vs React Timeseries Charts: What are the differences?

Introduction:

KoolCharts and React Timeseries Charts are popular options for data visualization in web applications. While both offer impressive features, there are key differences that developers should consider before choosing one over the other.

  1. Technology Stack: KoolChart is based on Flash and JavaScript, providing a wider range of chart types and interactive features. On the other hand, React Timeseries Charts are built on top of React and D3, offering a more modern approach to data visualization with a focus on scalability and flexibility.

  2. Ease of Integration: KoolChart provides pre-built components that can be easily integrated into web applications with minimal coding effort. In contrast, React Timeseries Charts require more customization and manual configuration to achieve the desired functionality, making it suitable for projects where a high degree of flexibility is needed.

  3. Community Support: React Timeseries Charts benefit from the vast community of React and D3 developers, ensuring a wealth of resources, tutorials, and plugins to enhance chart functionality. While KoolChart has been around for a longer time, the community support may not be as robust as that of React Timeseries Charts.

In Summary, KoolChart offers a wide range of chart types and interactive features, convenient integration, and a longer track record, while React Timeseries Charts provide a modern technology stack, scalability, and strong community support. Developers should choose based on their specific project requirements and familiarity with the respective technologies.

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Detailed Comparison

KoolChart
KoolChart
React Timeseries Charts
React Timeseries Charts

It is an HTML5 CANVAS-based charting solution with excellent performance. It works on all HTML5-supported browsers. With a single development effort, the chart layout and style can be used on multiple devices.

This library contains a set of modular charting components used for building flexible interactive charts. It was built for React from the ground up, specifically to visualize timeseries data and network traffic data in particular.

Separate Layout and Dataset, which enhances productivity and quality;Use the out-of-the-box drill-down functionality without depth limitation;Handle events using JavaScript;Simulate charts with Data Editor
Declarative layout of charts using JSX; Composition into multiple axis and multiple rows and overlays; Interactivity, including pan and zoom, selection and highlighting; Easily add your own chart types or overlays; Line, area, scatter, bar, boxplot and event charts; Brushing for interactive chart region selection; Chart pan and zoom constraints; Legends; Baselines; Markers
Statistics
GitHub Stars
-
GitHub Stars
875
GitHub Forks
-
GitHub Forks
281
Stacks
1
Stacks
6
Followers
3
Followers
26
Votes
0
Votes
0
Integrations
JavaScript
JavaScript
Firefox
Firefox
HTML5
HTML5
Opera Browser
Opera Browser
Google Chrome
Google Chrome
React
React
JavaScript
JavaScript

What are some alternatives to KoolChart, React Timeseries 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.

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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