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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Recharts vs Vizro

Recharts vs Vizro

OverviewComparisonAlternatives

Overview

Recharts
Recharts
Stacks233
Followers259
Votes36
GitHub Stars26.2K
Forks1.8K
Vizro
Vizro
Stacks0
Followers2
Votes0
GitHub Stars3.5K
Forks226

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Detailed Comparison

Recharts
Recharts
Vizro
Vizro

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

It is a toolkit for creating modular data visualization applications. Rapidly self-serve the assembly of customized dashboards in minutes - without the need for advanced coding or design experience - to create flexible and scalable, Python-enabled data visualization applications.

-
Visual intelligence, beautifully engineered; No need for advanced coding or design experience; Create complex dashboards utilizing libraries such as Plotly and Dash
Statistics
GitHub Stars
26.2K
GitHub Stars
3.5K
GitHub Forks
1.8K
GitHub Forks
226
Stacks
233
Stacks
0
Followers
259
Followers
2
Votes
36
Votes
0
Pros & Cons
Pros
  • 11
    Very intuitive API
  • 8
    Built for React, from scratch
  • 7
    Responsive
  • 5
    Composable chart elements
  • 3
    Easy to use
Cons
  • 2
    Not considered time series charts
No community feedback yet
Integrations
React
React
D3.js
D3.js
Windows
Windows
Linux
Linux
Python
Python
Kedro
Kedro
macOS
macOS

What are some alternatives to Recharts, Vizro?

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.

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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