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  1. Stackups
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  5. GraphQL Faker vs graphql-yoga

GraphQL Faker vs graphql-yoga

OverviewComparisonAlternatives

Overview

graphql-yoga
graphql-yoga
Stacks99
Followers144
Votes3
GraphQL Faker
GraphQL Faker
Stacks3
Followers4
Votes0
GitHub Stars2.7K
Forks229

GraphQL Faker vs graphql-yoga: What are the differences?

  1. Purpose: GraphQL Faker is specifically designed to generate fake data based on predefined schemas and it's mainly used for mocking GraphQL APIs during development. On the other hand, graphql-yoga is a fully-featured GraphQL server that includes an Express.js middleware and various other tools to build GraphQL APIs more effectively.

  2. Functionality: While GraphQL Faker focuses on creating fake data for testing or prototyping purposes, graphql-yoga is a holistic tool that offers a complete development environment for building, testing, and deploying GraphQL APIs. GraphQL Faker helps simulate real API responses, whereas graphql-yoga allows you to build and run actual GraphQL servers.

  3. Development Environment: GraphQL Faker is more suited for use in local development environments to quickly prototype without relying on actual data sources. In contrast, graphql-yoga provides a more comprehensive development environment with features like WebSocket subscriptions, Apollo Engine integration, and easy-to-use middleware options.

  4. Dependency: Using GraphQL Faker requires importing the library and defining the schemas for the fake data generation process. On the other hand, graphql-yoga has dependencies on GraphQL.js, Express.js, and other related libraries for setting up a full-fledged GraphQL server.

  5. Community Support: GraphQL Faker has a smaller user base compared to graphql-yoga, which is backed by the larger GraphQL community. Due to the extensive community support, graphql-yoga has more resources, documentation, and community-driven updates available.

  6. Extensibility: GraphQL Faker is limited in terms of customization and extensibility as its primary focus is on generating fake data within the defined schema structure. In contrast, graphql-yoga offers more flexibility and extensibility options through custom resolvers, middleware, and other features to tailor the GraphQL server according to specific project requirements.

In Summary, GraphQL Faker is ideal for mocking API responses with fake data during development, while graphql-yoga provides a robust GraphQL server environment for building and deploying GraphQL APIs with extensive features and community support.

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Detailed Comparison

graphql-yoga
graphql-yoga
GraphQL Faker
GraphQL Faker

Easiest way to run a GraphQL server: Sensible defaults & includes everything you need with minimal setup.;Includes Subscriptions: Built-in support for GraphQL subscriptions using WebSockets.;Compatible: Works with all GraphQL clients (Apollo, Relay...) and fits seamless in your GraphQL workflow.

Mock your future API or extend the existing API with realistic data from faker.js. No coding required. All you need is to write GraphQL SDL. Don't worry, we will provide you with examples in our SDL editor.

GraphQL spec-compliant;File upload;GraphQL Subscriptions;TypeScript typings;GraphQL Playground;Extensible via Express middlewares;Schema directives;Apollo Tracing;Accepts both application/json and application/graphql content-types;Runs everywhere: Can be deployed via now, up, AWS Lambda, Heroku etc.;Supports middleware out of the box.
Comes with multiple locales supported; Runs as a local server; Interactive editor with autocompletion for directives with GraphiQL embedded; Support for proxying existing GraphQL API and extending it with faked data
Statistics
GitHub Stars
-
GitHub Stars
2.7K
GitHub Forks
-
GitHub Forks
229
Stacks
99
Stacks
3
Followers
144
Followers
4
Votes
3
Votes
0
Pros & Cons
Pros
  • 3
    Easy to setup. No boilerplate code
No community feedback yet
Integrations
GraphQL
GraphQL
Relay Framework
Relay Framework
Apollo
Apollo
Prisma
Prisma
Prisma Cloud
Prisma Cloud
GraphQL
GraphQL

What are some alternatives to graphql-yoga, GraphQL Faker?

Firecamp

Firecamp

Firecamp is a centralized platform to test/manage/collaborate on HTTP, GraphQL, WS and other forms of APIs in a Team.

GraphQL Editor

GraphQL Editor

Visual GraphQL Editor is a visual backend editor that speed's up software development and improve's communication with non-tech people. It's a is a bridge between tech and non-tech users. Professionals can import their previously written code and visualize it on diagram while newbies can link visual blocks and editor will transform them into code. Our tool makes understanding GraphQL schema a lot easier.

Altair GraphQL

Altair GraphQL

A beautiful feature-rich GraphQL Client IDE for all platforms. Enables you interact with any GraphQL server you are authorized to access from any platform you are on. Much like Postman for GraphQL, you can easily test and optimize your Grap

GraphQL Nexus

GraphQL Nexus

It is a declarative, code-first and strongly typed GraphQL schema construction for TypeScript & JavaScript.

Cruddl

Cruddl

It is a library that creates an executable GraphQL schema from a model definition and provides queries and mutations to access a database. Currently, it supports the multi-model database ArangoDB. The concept being inspired by existing projects like prisma and join-monster, it exploits the expressiveness of the Arango Query Language (AQL) to generate one tailored query for each GraphQL request.

Serverless AppSync

Serverless AppSync

It allows you to easily and quickly deploy GraphQL APIs on AWS, and integrate them with AWS Lambda, DynamoDB & others. It supports all AWS AppSync features, while offering sane defaults that makes working with AppSync a lot easier without compromising on flexibility.

GraphQL Voyager

GraphQL Voyager

Represent any GraphQL API as an interactive graph. It's time to finally see the graph behind GraphQL.

graphqurl

graphqurl

Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL.

SpectaQL

SpectaQL

It is a Node.js library that generates static documentation for a GraphQL schema using a variety of options. The goal of SpectaQL is to help you keep your documentation complete, current and beautiful with the least amount of pain possible.

GraphQL Mesh

GraphQL Mesh

It allows you to use GraphQL query language to access data in remote APIs that don't run GraphQL (and also ones that do run GraphQL). It can be used as a gateway to other services, or run as a local GraphQL schema that aggregates data from remote APIs.

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