To produce an area chart, you will start with a line chart, filling in the area underneath the line with a simple option. I personally like Nivo because it has an interactive documentation site. Nivo offers a wide variety of flexible data visualisation components all of which are built on top of the D3 and ReactJs libraries. Table.1 - Comparison of five libraries selected for this research. Click on the “Reload and start profiling” button. But unlike previous libraries it is not composable. Nivo provides a rich set of dataviz components, built on top of the awesome D3 and React libraries. ​React​ The Universal Dashboard Nivo implementation exposes numerous different types of data visualizations. The width and height properties are in pixels, but they represent more of a ratio rather than an absolute. I personally have enjoyed working with Recharts a lot. Assuming that multiple libraries can accomplish what you need to do, how you choose depends a little bit on preference and a little bit on what you value. Table.1 - Comparison of five libraries selected for this research. So, without further ado, here is my list of top 5 React chart libraries: 1. D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document to create interactive SVG charts with smooth transitions and interaction. * Lightweight dependency only on few D3 sub-modules. You can either choose to render your graphs in SVGs or canvas -if you have loads of data- or you can use isomorphic rendering. It uses declarative components, with the components of charts purely presentational. Although some parts of Viser’s documentation are written in Chinese, which is less than helpful for an English speaking audience, it has a great demo page where you can find answers to the majority of your questions. If you don’t need zooming or brushing right away, or if you can wait for some of the type definitions, Nivo is worth looking into. SVG render | Responsive Charts | Types available | Zoom/brush available. Otherwise, using one of these libraries will make your life much easier because there are issues to using D3 in React! The documentation is interactive, and you are able to change options and toggle properties to see in real-time what changes on the chart. Rechart. ReCharts. I was also really impressed with its modern looking default styles with a smooth tooltip. Therefore, I did this research to see which React data viz libraries would best serve my team’s needs before starting a project using charts to visualize data. You select the chart component, which they call series, and throw it in the XYPlot. I shopped around for other graphing libraries and came across Recharts, a React-specific graphing library built on top of D3 that had been used more frequently and had a better rating than Nivo, Victory, or react-vis. It also has an examples page where you can find different example charts along with an interactive coding box and jsfiddle links, as well as detailed documentation about its components. This was done by passing enableArea={true} to the ResponsiveLine component. Thus, the React data visualization library ecosystem came alive, making it possible to create data visualizations easily and faster through reusable React components. You can see the data shape you should be using to generate each chart both in API documentation and examples pages. Discover recharts components. Recharts has no match when it comes to community size and the number of contributors actively maintaining this cool library. Occasionally, I found myself scratching my head and pondering how to create a chart customized in the way I wanted. dimple vs Recharts: What are the differences? I enjoy wrangling the data into the correct format and then getting the chart to look just right. nivo provides a rich set of dataviz components, built on top of the awesome d3 and Reactjs libraries. HighCharts: Being based upon SVG technology makes HighCharts a modern charting library, and with it having fallbacks for older browsers, makes the compatibility for this library good too. Sunburst documentation. * Supports native SVG . Leigh Halliday is a developer based out of Canada who works at FlipGive (https://www.flipgive.com). React-vis is a simple and powerful library that was originally built to support Uber’s internal tools. I compared them by some of the features that I cared the most about. Everything is a component in this package. ... Nivo is a beautiful framework built on top of D3 and React, offering fourteen different types of components to present your data with. Then, all you do is copy and paste! When comparing D3.js vs Recharts, the Slant community recommends D3.js for most people. It even updates the code as you change properties so that when it looks exactly how you want it to, you can copy and paste the code into your own project. The most well known on this list is Recharts, a super simple and well-built library of composable charts built on React components. | Garmin Blog ... . The demo page has an interactive coding box where you can observe the code along with the data that shapes the graph. The first things I noticed about Recharts was its simplicity, smooth animations, and popularity. As its website url implies, Nivo rocks! (This table was created in June 2020. Rechart (built with D3.js) is all about modularity and simplicity.The grid, the tooltip, the line items, etc. All datum having null x or y will be treated as holes, thus … While I know good documentation for D3 exists and there are widespread use cases of it in the wild, Recharts piqued my interest. For an updated comparison see here.) Victory: 4k uses, 7.6k stars, 167 issues. Although I never covered Nivo in the video, it’s such a beautiful library with fantastic documentation that I wanted to include it in this article. One of the props width and height should be a percentage string. ... Nivo provides a number of customization choices and 3 ways to render: SVG, Canvas, HTML. These problems originate from the fact that React and D3 both manipulate the DOM. Learn more about FDIC insurance coverage. … Plus, Nivo charts render notably faster for the initial render compared to the others (see Performance Comparison part). These five were Recharts, Victory, Nivo, react-vis, and Viser. Here is an overview of the profiler results of the charts. These five were Recharts, Victory, Nivo, react-vis, and Viser. This library features native SVG support, with only light dependency on some D3 submodules. The main motive of this react library is to help the programmer build React application based charts without any headache. It aims to give a gentle learning curve and minimal code to achieve something productive. Canvas render | Types available | Zoom/brush available. The good thing about recharts is that it provides very nice looking charts out the box. And keep in mind that in contrast to the charts created with the libraries below, this chart doesn’t have a tooltip and is not responsive. Recharts is a redefined-composable chart library built with React and Data Driven Document. Under the hood, Recharts uses D3 and demonstrates declarative components. TreeMap documentation. Sankey documentation. ✅ A popular library will inevitably mean a lot of community support (eg: StackOverflow, GitHub issues) 2. You can place multiple area/bar/line charts inside the VictoryChart container, allowing you to overlay data provided they share the same axes. “Both React and D3 are two excellent tools designed with goals that sometimes collide. While you can add those, and even give the chart zooming or brushing capabilities, it is time consuming and requires a good understanding of SVG/canvas elements and D3. Fun facts about me: I play drums for a local band named Sinnet, I like walking cities, I like non-flowering plants, I have a moustache 👨🏻. You add the components you need in the wrapper component and customize them by their props. I started by pulling the createdAt field using their GraphQL Explorer, with the following query: It returned a result which resembles this abbreviated list below: From this we can do some data wrangling in JavaScript to count how many times each year occurs, converting it into the desired format. Both take control of user interface elements, and they do so in different ways.” - Marcos Iglesias, Bringing Together React, D3, And Their Ecosystem. If Victory’s beauty is in its simplicity, Recharts shines when it comes to flexibility. Recharts . Recharts: 21k uses, 12.9k stars, 541 issues. @godmar When you use ResponsiveContianer, we'll try to calculate the width and height of ResponsiveContainer's parent node.But If the height of parent node is 0, we don't know how to calculate the height of ResponsiveContainer.We have many discussion in #135.Maybe you can set a minHeight to ResponsiveContainer. React-Vis: 3.8k uses, 6.6k stars, 242 issues. Nivo. Developers working in React quickly realized that it was not so easy to tame D3 and make it get along with React. Recharts uses D3 under the hood and exposes declarative components. You can use ResponsiveContainer provided by recharts.. Docs of ResponsiveContainer says:. Even though you, again, have a container and bunch of children elements in it, the container is always going to be XYPlot. The documentation is excellent and the demonstrations are enjoyable and customizable. Comlink and web workers: A match made in heaven, Understanding message queuing systems using RabbitMQ, Serverless deployments via Vercel using Node.js, Using Zustand to simplify state management, Scalable state management with Vuex and Nuxt.js. Matplotlib: A plotting library for the Python programming language.It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Nivo feels similar to Victory, in that you deal with fewer components which receive more props to customize the look and feel of the chart: Bringing data alive has always been fun for me. This is why I was inspired to do this research. They all have great documentation, with lots of reusable examples of charts, a great React-y way of coding so that you feel at home, and a huge supporting community to make sure you are never let down. If you’re looking for an alternative to building your own custom charts using D3, there are a lot of great React charting libraries out there (like Victory by Formidable Labs, Recharts, and React Vis by Uber, to name a few).. So, in plain English: Recharts does some math calculations with D3 functions and uses React to draw them in view. Since I started searching for a data-viz library, everyone I asked mentioned Victory once, if not twice. Nivo’s coding style is unique compared to the others. SVG, Canvas render | Responsive Charts | Types available | Zoom/brush available. Things I value when choosing a library are (in no particular order): Here are a few high-level numbers and stats about the charting packages we are covering today: Charting always requires that you not only have data, but also that it is in the correct format required by the library. Even though it has comprehensive documentation, Victory’s docs were a little hard to learn from compared to the others in this article. It has a smaller user base than the others on the list, I think it is a really valuable library that has many useful features. Of the React-specific libraries, Recharts had the most stars (10.7K) as of late January, followed by Victory (6.7K), VX (5.6K), React-Vis (4.9K), and Nivo (4.8K). For an updated comparison see here.). All trademarks and other intellectual property used or displayed are property of their respective owners. This will trigger a refresh. Created by author. There are so many open source data visualization libraries built upon D3.js (also known as D3, short for Data-Driven Documents); however, no one resource really has a comprehensive comparison of all the data visualization libraries available specifically for React. Charts can convey so much more information to a user than a simple table of numbers. The logic to it is to select a container component that meets your needs and fill it with all the necessary child components to customize your chart. See the comparison app here for a real-life example and Performance Results for profiler performance of this library in a real-life situation. Then, I got involved in computer technologies and decided to change fields. Server-side rendering is Nivo’s unique feature, it even provides a HTTP rendering API for most of the charts. Recharts doesn’t assume you will be passing your data with the labels x and y, which is why you have to specify the dataKey props on a number of the different components for it to know where to pull the data from. Particularly with this library, I am a fan of the dynamic charts, whi… It is a robust, easy-to-use, very well documented, stylish, and performant library. A data viz library created for React users. Features * Deploys simply with React components. GitHub stars for popular chart libraries A container component to make charts adapt to the size of the parent container. Examples: area-chart , bar-chart , line-chart , composed-chart , scatter-chart , responsive-container , pie-chart , tooltip , radar-chart , treemap. Radar documentation. svg canvas http api. I am a software engineer who wears several different hats. Of the React-specific libraries, Recharts had the most stars (10.7K) as of late January, followed by Victory (6.7K), VX (5.6K), React-Vis (4.9K), and Nivo (4.8K). It actually doesn’t take very much code at all to produce a nice looking area chart. Voronoi documentation. Here is the code snippet of a stacked area chart I created to give you an idea of how plain D3 works in React. recharts. Before jumping into our five libraries I wanted to quickly go over D3, the gold standard for data viz libraries. @nivo/line svg isomorphic. All three libraries we are working with want the data in an array of objects, with x and y as the keys: The data above represents the number of repositories each year I have created (over my last 100 repos) on GitHub. ... Nivo Homepage. Compare npm package download statistics over time: nivo vs recharts vs victory vs victory chart