webpack-bundle-analyzer VS nivo

I used to use webpack-bundle-analyzer but we have switched the builder to browser-esbuild now.

First start by running a webpack bundle analysis to see what exactly is bundled. You might be surprised about things being included that you didn't expect which can help with where to look.

Firstly I recommend taking a look at the structure of the webpack output with something like webpack-bundle-analyzer for any obvious over bundling issues.

See: https://github.com/webpack-contrib/webpack-bundle-analyzer

Webpack Bundle Analyzer

npm run analyse - analyse bundle with webpack-bundle-analyzer

This was my question as well. The article does answer the question, but off the bat I'd assumed the author was talking about output/dist. The web treemap cli is a great tip. If you are using webpack, webpack-bundle-analyzer is a helpful tool for quickly finding bloated packages. It's definitely helped me cut down my build times: https://github.com/webpack-contrib/webpack-bundle-analyzer

Here are a few tipps where you could save some time: 1)check angular.json (configurations -> "your ci config") - look for buildOptimizer / optimization 2)If you run npm ci during your pipeline it might make sense to create the node modules folder beforehand, it seems to save time (https://github.com/npm/cli/issues/2011) 3)Use ng build --stats-json to analyze your build 4)Use https://github.com/webpack-contrib/webpack-bundle-analyzer (also works together with 3. ) 5)Check your package.json for unused dependencies 6)Check your imports, import only what is needed Hope this helps

- `npm run start` - Start the app - `npm run lint` - Lint the project - `npm run test` - Run unit tests - `npm run build` - Build the project - `npm run build:prod` - Build the project in production mode - `npm run build:prod:stats` - Build the project in product mode with stats - `npm run analyse` - Analyse bundle with [webpack-bundle-analyzer](https://github.com/webpack-contrib/webpack-bundle-analyzer) - `npm run compodoc` - Generate [compodoc](https://github.com/compodoc/compodoc) documentation - `npm run version` - Generate changelog - `npm run prettier` - Format the whole project - `npm run audit` - Audit this application using Sonatype OSS Index

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.