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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. React Timeseries Charts vs go-chart

React Timeseries Charts vs go-chart

OverviewComparisonAlternatives

Overview

go-chart
go-chart
Stacks1
Followers14
Votes1
GitHub Stars4.0K
Forks336
React Timeseries Charts
React Timeseries Charts
Stacks6
Followers26
Votes0
GitHub Stars875
Forks281

React Timeseries Charts vs go-chart: What are the differences?

# Introduction

React Timeseries Charts and go-chart are two popular charting libraries used for visualizing time series data. While both libraries serve a similar purpose, there are key differences that set them apart in terms of functionality and usage.

1. **Language and Framework**: React Timeseries Charts is a React-based library, which means it is designed to work seamlessly with React applications. On the other hand, go-chart is a Go-based library, making it more suitable for projects developed using the Go programming language.

2. **Customization Options**: React Timeseries Charts offers a wide range of customization options like different chart types, themes, and data visualizations. In contrast, go-chart provides a simpler and more limited set of customization features, making it easier to use for users looking for quick and straightforward charting solutions.

3. **Community Support**: React Timeseries Charts has a large and active community of developers contributing to its ongoing development and support. This ensures regular updates, bug fixes, and new features. In comparison, go-chart may have a smaller community base, leading to potentially slower updates and fewer resources for troubleshooting issues.

4. **Integration with Other Libraries**: React Timeseries Charts is designed to integrate well with other React libraries and components, allowing for seamless integration into React-based projects. On the other hand, go-chart may have limited or fewer integration options with non-Go libraries or frameworks, which could impact its usability in projects using different technologies.

5. **Ease of Use**: React Timeseries Charts is known for its user-friendly API and comprehensive documentation, making it easy for developers to get started with creating charts quickly. In contrast, go-chart may have a steeper learning curve due to its potentially more complex setup and configuration process.

6. **Performance**: React Timeseries Charts is optimized for performance and efficiency, making it suitable for handling large datasets and real-time data updates. While go-chart is also capable of handling data efficiently, React Timeseries Charts may offer better performance in scenarios requiring fast and frequent data rendering or updates.

In Summary, React Timeseries Charts and go-chart differ in their language and framework support, customization options, community support, integration capabilities, ease of use, and performance, catering to the specific needs and preferences of developers working on time series data visualization projects.

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Detailed Comparison

go-chart
go-chart
React Timeseries Charts
React Timeseries Charts

go chart is a basic charting library in native golang.

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.

-
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
4.0K
GitHub Stars
875
GitHub Forks
336
GitHub Forks
281
Stacks
1
Stacks
6
Followers
14
Followers
26
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Free to use
No community feedback yet
Integrations
Golang
Golang
React
React
JavaScript
JavaScript

What are some alternatives to go-chart, 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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