Plotly vs React Timeseries Charts

Overview

Plotly.js

Stacks399

Followers694

Votes69

GitHub Stars17.9K

Forks1.9K

React Timeseries Charts

Stacks6

Followers26

Votes0

GitHub Stars875

Forks281

Plotly vs React Timeseries Charts: What are the differences?

<Plotly vs React Timeseries Charts Comparison>
1. **Integration with React**: Plotly is a JavaScript graphing library that can be easily integrated with React applications through Plotly.js. React Timeseries Charts, on the other hand, is a dedicated library for creating interactive and real-time time series charts within React components, providing more tailored and streamlined integration options specifically for React development.

2. **Customization Options**: Plotly offers a wide range of customization options for creating complex and detailed plots, including 3D plots, animations, and advanced layout configurations. React Timeseries Charts, although powerful for time series data visualization, may have limited customization options compared to the extensive capabilities of Plotly.

3. **Ease of Use**: React Timeseries Charts is designed to be straightforward and user-friendly, providing simple APIs and components for creating basic time series charts quickly. Plotly, on the other hand, with its vast array of features and functionalities, may have a steeper learning curve for beginners or those looking for a more streamlined solution.

4. **Community Support**: Plotly has a large and active community of users and contributors, providing extensive documentation, tutorials, and online resources for users to troubleshoot issues and explore new features. React Timeseries Charts, being more specialized, may have a smaller community but can offer focused support for time series-specific inquiries and enhancements.

5. **Real-time Data Handling**: React Timeseries Charts is optimized for handling real-time data updates and rendering changes efficiently, making it suitable for applications requiring dynamic and live data visualization. Plotly may also support real-time capabilities but may require additional configuration and setup for seamless real-time chart updates.

6. **Performance Optimization**: Plotly's robust rendering engine and charting capabilities can sometimes lead to heavier resource usage and slower performance, especially when dealing with large datasets or complex visualizations. React Timeseries Charts, being tailored for time series data and React-based applications, may offer optimized performance and rendering speeds for time series charting specifically.

In Summary, Plotly and React Timeseries Charts differ in integration with React, customization options, ease of use, community support, real-time data handling, and performance optimization, catering to different needs and preferences in time series data visualization within web development.

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CLI (Node.js)

Manual

Detailed Comparison

Plotly.js	React Timeseries Charts
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.	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.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export	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 17.9K	GitHub Stars 875
GitHub Forks 1.9K	GitHub Forks 281
Stacks 399	Stacks 6
Followers 694	Followers 26
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	No community feedback yet
Integrations
Python React MATLAB Jupyter Julia	React JavaScript

What are some alternatives to Plotly.js, React Timeseries Charts?

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 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

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

Recharts

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

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

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

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

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 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

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

Related Comparisons

Plotly vs React Timeseries Charts: What are the differences?

<Plotly vs React Timeseries Charts Comparison>
1. **Integration with React**: Plotly is a JavaScript graphing library that can be easily integrated with React applications through Plotly.js. React Timeseries Charts, on the other hand, is a dedicated library for creating interactive and real-time time series charts within React components, providing more tailored and streamlined integration options specifically for React development.

2. **Customization Options**: Plotly offers a wide range of customization options for creating complex and detailed plots, including 3D plots, animations, and advanced layout configurations. React Timeseries Charts, although powerful for time series data visualization, may have limited customization options compared to the extensive capabilities of Plotly.

3. **Ease of Use**: React Timeseries Charts is designed to be straightforward and user-friendly, providing simple APIs and components for creating basic time series charts quickly. Plotly, on the other hand, with its vast array of features and functionalities, may have a steeper learning curve for beginners or those looking for a more streamlined solution.

4. **Community Support**: Plotly has a large and active community of users and contributors, providing extensive documentation, tutorials, and online resources for users to troubleshoot issues and explore new features. React Timeseries Charts, being more specialized, may have a smaller community but can offer focused support for time series-specific inquiries and enhancements.

5. **Real-time Data Handling**: React Timeseries Charts is optimized for handling real-time data updates and rendering changes efficiently, making it suitable for applications requiring dynamic and live data visualization. Plotly may also support real-time capabilities but may require additional configuration and setup for seamless real-time chart updates.

6. **Performance Optimization**: Plotly's robust rendering engine and charting capabilities can sometimes lead to heavier resource usage and slower performance, especially when dealing with large datasets or complex visualizations. React Timeseries Charts, being tailored for time series data and React-based applications, may offer optimized performance and rendering speeds for time series charting specifically.

Plotly vs React Timeseries Charts

Overview