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GraphQL

33.1K
27.2K
+ 1
310
Nancy

47
44
+ 1
7
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GraphQL vs Nancy: What are the differences?

GraphQL: A data query language and runtime. GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012; Nancy: A lightweight web framework for .NET. Nancy is a lightweight, low-ceremony, framework for building HTTP based services on .NET Framework/Core and Mono. The goal of the framework is to stay out of the way as much as possible and provide a super-duper-happy-path to all interactions.

GraphQL can be classified as a tool in the "Query Languages" category, while Nancy is grouped under "Microframeworks (Backend)".

"Schemas defined by the requests made by the user" is the top reason why over 61 developers like GraphQL, while over 2 developers mention "C#" as the leading cause for choosing Nancy.

GraphQL and Nancy are both open source tools. It seems that GraphQL with 11.7K GitHub stars and 753 forks on GitHub has more adoption than Nancy with 6.8K GitHub stars and 1.46K GitHub forks.

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Pros of GraphQL
Pros of Nancy
  • 75
    Schemas defined by the requests made by the user
  • 63
    Will replace RESTful interfaces
  • 62
    The future of API's
  • 49
    The future of databases
  • 13
    Self-documenting
  • 12
    Get many resources in a single request
  • 6
    Query Language
  • 6
    Ask for what you need, get exactly that
  • 3
    Fetch different resources in one request
  • 3
    Type system
  • 3
    Evolve your API without versions
  • 2
    Ease of client creation
  • 2
    GraphiQL
  • 2
    Easy setup
  • 1
    "Open" document
  • 1
    Fast prototyping
  • 1
    Supports subscription
  • 1
    Standard
  • 1
    Good for apps that query at build time. (SSR/Gatsby)
  • 1
    1. Describe your data
  • 1
    Better versioning
  • 1
    Backed by Facebook
  • 1
    Easy to learn
  • 3
    C#
  • 2
    .Net
  • 1
    Middlewares
  • 1
    Sinatra inspired

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Cons of GraphQL
Cons of Nancy
  • 4
    Hard to migrate from GraphQL to another technology
  • 4
    More code to type.
  • 2
    Takes longer to build compared to schemaless.
  • 1
    No support for caching
  • 1
    All the pros sound like NFT pitches
  • 1
    No support for streaming
  • 1
    Works just like any other API at runtime
  • 1
    N+1 fetch problem
  • 1
    No built in security
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    - No public GitHub repository available -

    What is GraphQL?

    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

    What is Nancy?

    Nancy is a lightweight, low-ceremony, framework for building HTTP based services on .NET Framework/Core and Mono. The goal of the framework is to stay out of the way as much as possible and provide a super-duper-happy-path to all interactions.

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    What companies use GraphQL?
    What companies use Nancy?
    See which teams inside your own company are using GraphQL or Nancy.
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    What tools integrate with GraphQL?
    What tools integrate with Nancy?

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    What are some alternatives to GraphQL and Nancy?
    gRPC
    gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...
    Falcor
    Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.
    React
    Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
    graphql.js
    Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    See all alternatives