npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

with-apollo

v2.0.0

Published

1. Start api service with test env (`npm run start:e2e`) 2. Start graphql service with test env (`npm run start:e2e`) 3. Start payment service (`npm run start`) 4. Build the application (`npm run build`) 5. Start ssr service with test env (`npm run start:

Downloads

3

Readme

How to start end-to-end tests

  1. Start api service with test env (npm run start:e2e)
  2. Start graphql service with test env (npm run start:e2e)
  3. Start payment service (npm run start)
  4. Build the application (npm run build)
  5. Start ssr service with test env (npm run start:e2e)
  6. Run e2e scripts (npm run test:e2e or test:e2e:watch)

PS Make sure that mongo server is running at default port

Deploy to now

Apollo Example

Demo

https://next-with-apollo.now.sh

How to use

Using create-next-app

Execute create-next-app with Yarn or npx to bootstrap the example:

npx create-next-app --example with-apollo with-apollo-app
# or
yarn create next-app --example with-apollo with-apollo-app

Download manually

Download the example:

curl https://codeload.github.com/zeit/next.js/tar.gz/canary | tar -xz --strip=2 next.js-canary/examples/with-apollo
cd with-apollo

Install it and run:

npm install
npm run dev
# or
yarn
yarn dev

Deploy it to the cloud with now (download):

now

The idea behind the example

Apollo is a GraphQL client that allows you to easily query the exact data you need from a GraphQL server. In addition to fetching and mutating data, Apollo analyzes your queries and their results to construct a client-side cache of your data, which is kept up to date as further queries and mutations are run, fetching more results from the server.

In this simple example, we integrate Apollo seamlessly with Next by wrapping our pages/_app.js inside a higher-order component (HOC). Using the HOC pattern we're able to pass down a central store of query result data created by Apollo into our React component hierarchy defined inside each page of our Next application.

On initial page load, while on the server and inside getInitialProps, we invoke the Apollo method, getDataFromTree. This method returns a promise; at the point in which the promise resolves, our Apollo Client store is completely initialized.

This example relies on graph.cool for its GraphQL backend.

Note: Do not be alarmed that you see two renders being executed. Apollo recursively traverses the React render tree looking for Apollo query components. When it has done that, it fetches all these queries and then passes the result to a cache. This cache is then used to render the data on the server side (another React render). https://www.apollographql.com/docs/react/features/server-side-rendering.html#getDataFromTree