react-vis VS nivo

Install react-vis by using the following command:

I've heard good things about Uber's react-vis https://www.npmjs.com/package/react-vis

D3.js is great for custom data viz. You can get started by including the library in a script tag and not have to mess around with a bundler like Webpack until you are ready and just use plane CSS. D3.js doesn't work well with JS frameworks like React - it was jQuery like DOM manipulation functions. I find the best approach is to let D3 manage its chart and leave React for the UI. Or you can use a more React friendly library like React Viz from Uber. While D3 is great for custom data viz it's time consuming for standard charts. There are a lot of charting libraries out there like Chart.js. There is also Plot which is built on D3.js.

React Vis averages 100,000+ weekly downloads, 8.3k stars and 850 forks on Github.

react-vis

I am trying to use react-vis library in my project. In their readme file, they have asked to import library by adding following lines in non-node environment:

I had an existing working react code written in Typescript (and hence ES6) using react-vis library. The library itself seem to use ES6.

I have referenced react-vis library form unpkg as stated in their github repo:

The repository can be found here and is definitely worth taking a look.

react-vis - Data visualization library based on React and d3.

Nivo is a data visualization library built on top of D3.js and React. It offers a range of well-designed, customizable charts with great animations, making it suitable for creating visually impressive data visualizations.

When it comes to charting, Nivo makes you immediately superhero.

Since no one mentioned it, checkout nivo

Today this works thanks to nivo and Cloudinary, but that journey included a lot of trials and testing for the perfect solution.

Nivo is built on D3 and provides a variety of templates for data visualization and presentation. It is one of the few libraries that provide server-side rendering ability and fully declarative charts.

Then, we can think about the implementation. We use Nivo for most data visualizations, but we do have a few that either use straight HTML/CSS, or use D3 directly.

I always use https://nivo.rocks/ you can customize it a ton. Works great.

I use nivo.rocks to visualize the genres and make the list more interactive. Please read my comment on how I implemented it.

CRUD is just one part of the layer. It allows adding/removing/updating data. This is simply a data-foundation for an application.

Of course it feels the same across apps and industries-- it's a concrete slab upon which you build things.

Add layers on top of that, such as:

- Data visualizations. You have data from your CRUD, so do something creative with it. If you're familiar with ReactJS, check out open source, free libraries such as: https://nivo.rocks/ and https://charts.ant.design/

- Data integrations. Depending on the business you're in, experiment with integrating your CRUD app with external data sources via REST API or GraphQL. For example, a CRM like Salesforce or Marketo. Or a REST API in a particular business domain. Or a Google product which a customer might use, such as google drive.