Struggling to Mock graphQL Data? Open Source apollo-mock-http to the Rescue.

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • apollo-mock-http

    An easy and maintainable way of injecting mock data into Apollo GraphQL Client for fast feature development decoupled from API/Backend.

    Our newly-introduced open source project apollo-mock-http is an easy and maintainable way to inject mock data into Apollo GraphQL Client for fast front-end feature development decoupled from the back-end API.

  • React

    The library for web and native user interfaces

    As a global financial technology platform company serving more than 100M consumer and small business customers around the world with TurboTax, Credit Karma, QuickBooks, and Mailchimp, accelerating development velocity is a top priority for Intuit. Like many large enterprise companies, our platform architecture is built on a modern SaaS development environment, and we take full advantage of technologies like React, GraphQL, micro-frontends, to name a few — and Apollo Client when working with GraphQL.

  • Klotho

    AWS Cloud-aware infrastructure-from-code toolbox [NEW]. Build cloud backends with Infrastructure-from-Code (IfC), a revolutionary technique for generating and updating cloud infrastructure. Try IfC with AWS and Klotho now (Now open-source)

  • foundation

    GraphQL Foundation Charter and Legal Documents (by graphql)

    As a global financial technology platform company serving more than 100M consumer and small business customers around the world with TurboTax, Credit Karma, QuickBooks, and Mailchimp, accelerating development velocity is a top priority for Intuit. Like many large enterprise companies, our platform architecture is built on a modern SaaS development environment, and we take full advantage of technologies like React, GraphQL, micro-frontends, to name a few — and Apollo Client when working with GraphQL.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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