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  1. Stackups
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  5. D3.js vs React Timeseries Charts

D3.js vs React Timeseries Charts

OverviewDecisionsComparisonAlternatives

Overview

D3.js
D3.js
Stacks2.0K
Followers1.7K
Votes653
GitHub Stars111.7K
Forks22.9K
React Timeseries Charts
React Timeseries Charts
Stacks6
Followers26
Votes0
GitHub Stars875
Forks281

D3.js vs React Timeseries Charts: What are the differences?

<React Timeseries Charts is a JavaScript library that allows users to easily create interactive time series charts, while D3.js is a more general-purpose data visualization library that requires more coding expertise and provides more flexibility in chart customization. Here are the key differences between D3.js and React Timeseries Charts:>

  1. Data Visualization Approach: React Timeseries Charts offers ready-made components and a simpler, more declarative approach to creating time series charts compared to the more programmatic and low-level approach of D3.js.

  2. Learning Curve: React Timeseries Charts has a lower learning curve compared to D3.js, making it a better choice for beginners or those looking for quick and easy chart creation without delving into the complexities of D3.js.

  3. Customization Flexibility: D3.js provides extensive customization capabilities, allowing users to create highly customized and unique charts, while React Timeseries Charts offers more limited customization options due to its focus on simplicity and ease of use.

  4. Community Support and Resources: D3.js has a larger and more active community with a wealth of resources, tutorials, and examples available online, making it easier for users to troubleshoot issues and learn new techniques compared to React Timeseries Charts.

  5. Performance: D3.js offers better performance optimization and control over rendering, which can be crucial for handling large datasets or complex visualizations compared to React Timeseries Charts.

  6. Integration with React: React Timeseries Charts seamlessly integrates with React applications, allowing for smooth interactions and state management within the React ecosystem, while D3.js requires additional effort for integration and may not fit as well into React workflows.

In Summary, D3.js and React Timeseries Charts offer distinct approaches to data visualization, with D3.js providing more customization and flexibility but requiring a higher level of expertise, while React Timeseries Charts offers a simpler and more beginner-friendly solution with integrated React compatibility.

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Advice on D3.js, React Timeseries Charts

Ayaskant
Ayaskant

SSE-II at Akamai

Oct 25, 2019

Needs advice

I want to get suggestions on these 2 open source js libraries (D3.js & echarts) that help in creating charts or graphs on the UI. Which one will be better for bar graphs. Which is easy to learn and start with? Which provides better features and community support?

My requirements are 1 - Plot data in X-Y axis graph where x-axis will present time till seconds level and Y-Axis will present the data corresponding to that time.

2 - Zoom-in and zoom out feature.

56k views56k
Comments

Detailed Comparison

D3.js
D3.js
React Timeseries Charts
React Timeseries Charts

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.

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 Approach for Individual Nodes Manipulation; Functions Factory; Web Standards; Built-in ELement Inspector to Debug; Uses SVG, Canvas, and HTML; Data-driven approach to DOM Manipulation; Voronoi Diagrams; Maps and topo.
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
111.7K
GitHub Stars
875
GitHub Forks
22.9K
GitHub Forks
281
Stacks
2.0K
Stacks
6
Followers
1.7K
Followers
26
Votes
653
Votes
0
Pros & Cons
Pros
  • 195
    Beautiful visualizations
  • 103
    Svg
  • 92
    Data-driven
  • 81
    Large set of examples
  • 61
    Data-driven documents
Cons
  • 11
    Beginners cant understand at all
  • 6
    Complex syntax
No community feedback yet
Integrations
JavaScript
JavaScript
React Native
React Native
AngularJS
AngularJS
React
React
Bootstrap
Bootstrap
React
React
JavaScript
JavaScript

What are some alternatives to D3.js, React Timeseries Charts?

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.

ApexCharts

ApexCharts

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

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