Code

A GraphQL query language parser in C++ with C and C++ APIs.

.NET Core GraphQL library. Compiles to IQueryable to easily expose a schema from an existing data model (E.g. from an Entity Framework data model)

using System;
using System.Threading.Tasks;
using GraphQL;
using GraphQL.Types;
using GraphQL.SystemTextJson; // First add PackageReference to GraphQL.SystemTextJson
 
public class Program
{
  public static async Task Main(string[] args)
  {
    var schema = Schema.For(@"
      type Query {
        hello: String
      }
    ");
 
    var json = await schema.ExecuteAsync(_ =>
    {
      _.Query = "{ hello }";
      _.Root = new { Hello = "Hello World!" };
    });
 
    Console.WriteLine(json);
  }
}

Convert GraphQL to IQueryable

Hot Chocolate takes the complexity away from building a fully-fledged GraphQL server and lets you focus on delivering the next big thing.

using Microsoft.AspNetCore;
using Microsoft.AspNetCore.Hosting;
using Microsoft.AspNetCore.Builder;
using Microsoft.Extensions.DependencyInjection;
 
WebHost
    .CreateDefaultBuilder(args)
    .ConfigureServices(services =>
        services
            .AddGraphQLServer()
            .AddQueryType<Query>())
    .Configure(builder =>
        builder
            .UseRouting()
            .UseEndpoints(e => e.MapGraphQL()))
    .Build()
    .Run();
 
public class Query
{
    public Hero GetHero() => new Hero();
}
 
public class Hero
{
    public string Name => "Luke Skywalker";
}

A set of packages for implementing high-performant GraphQL servers in .NET. Faithful implementation of official 2018 Specification. Features batched execution support (aka Data Loader); support for custom scalars; HTTP server based on ASP.NET Core; parsed query cache; modular API construction (equivalent of schema stiching); full introspection support; runtime metrics and quotas.

A GraphQL Client for .NET.

Basic example GraphQL client for .NET.

GraphQL client which supports generating queries from C# classes

Strawberry Shake removes the complexity of state management and lets you interact with local and remote data through GraphQL.

You can use Strawberry Shake to:

• Generate a C# client from your GraphQL queries.
• Interact with local and remote data through GraphQL.
• Use reactive APIs to interact with your state.

client.GetHero
    .Watch(ExecutionStrategy.CacheFirst)
    .Subscribe(result => 
    {
        Console.WriteLine(result.Data.Name);
    })

(require '[alumbra.core :as alumbra]
         '[claro.data :as data])
 
(def schema
  "type Person { name: String!, friends: [Person!]! }
   type QueryRoot { person(id: ID!): Person, me: Person! }
   schema { query: QueryRoot }")
 
(defrecord Person [id]
  data/Resolvable
  (resolve! [_ _]
    {:name    (str "Person #" id)
     :friends (map ->Person  (range (inc id) (+ id 3)))}))
 
(def QueryRoot
  {:person (map->Person {})
   :me     (map->Person {:id 0})})
 
(def app
  (alumbra/handler
    {:schema schema
     :query  QueryRoot}))
 
(defonce my-graphql-server
  (aleph.http/start-server #'app {:port 3000}))

$ curl -XPOST "http://0:3000" -H'Content-Type: application/json' -d'{
  "query": "{ me { name, friends { name } } }"
}'
{"data":{"me":{"name":"Person #0","friends":[{"name":"Person #1"},{"name":"Person #2"}]}}}

Code that executes a hello world GraphQL query with graphql-clj:

 
(def schema "type QueryRoot {
    hello: String
  }")
 
(defn resolver-fn [type-name field-name]
  (get-in {"QueryRoot" {"hello" (fn [context parent & rest]
                              "Hello world!")}}
          [type-name field-name]))
 
(require '[graphql-clj.executor :as executor])
 
(executor/execute nil schema resolver-fn "{ hello }")

A full implementation of the GraphQL specification that aims to maintain external compliance with the specification.

A GraphQL client implemented in Clojurescript with support for websockets.

A GraphQL implementaiton for the D Programming Language.

GraphQL implementation for Elixir.

An Elixir implementation of Facebook's GraphQL.

Elixir GraphQL Client with HTTP and WebSocket support

A GraphQL client for Elixir

Library and command-line code generator to create type-safe Elm code for a GraphQL endpoint.

GraphQL implementation in Erlang.

Ferry is a simple, powerful GraphQL Client for Flutter and Dart.

A GraphQL client implementation in Flutter.

Go generate based graphql server library.

Develop spec compliant GraphQL servers in Go.

An active implementation of GraphQL in Golang (was https://github.com/neelance/graphql-go).

An implementation of GraphQL for Go / Golang.

A Go/Golang library to help construct a graphql-go server supporting react-relay.

A GraphQL implementation with easy schema building, live queries, and batching.

A GraphQL Go client with Mutation, Query and Subscription support.

A GraphQL client implementation in Go.

An elegant low-level HTTP client for GraphQL.

An instant GraphQL to SQL compiler. Use as a standalone service or a Go library. Formerly super-graph.

Core Library - The GORM GraphQL library provides functionality to generate a GraphQL schema based on your GORM entities. In addition to mapping domain classes to a GraphQL schema, the core library also provides default implementations of "data fetchers" to query, update, and delete data through executions of the schema.

Grails Plugin - In a addition to the Core Library, the GORM GraphQL Grails Plugin:

• Provides a controller to receive and respond to GraphQL requests through HTTP, based on their guidelines.

• Generates the schema at startup with spring bean configuration to make it easy to extend.

• Includes a GraphiQL browser enabled by default in development. The browser is accessible at /graphql/browser.

• Overrides the default data binder to use the data binding provided by Grails

• Provides a trait to make integration testing of your GraphQL endpoints easier

See the documentation for more information.

GQL is a Groove library for GraphQL

Hello world example with morpheus-graphql:

# schema.gql
"""
A supernatural being considered divine and sacred
"""
type Deity {
  name: String!
  power: String @deprecated(reason: "no more supported")
}
type Query {
  deity(name: String! = "Morpheus"): Deity!
}

{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE TypeFamilies #-}
module API (api) where
import Data.ByteString.Lazy.Char8 (ByteString)
import Data.Morpheus (interpreter)
import Data.Morpheus.Document (importGQLDocument)
import Data.Morpheus.Types (RootResolver (..), Undefined (..))
import Data.Text (Text)
importGQLDocument "schema.gql"
rootResolver :: RootResolver IO () Query Undefined Undefined
rootResolver =
  RootResolver
    { queryResolver = Query {deity},
      mutationResolver = Undefined,
      subscriptionResolver = Undefined
    }
  where
    deity DeityArgs {name} =
      pure
        Deity
          { name = pure name,
            power = pure (Just "Shapeshifting")
          }
api :: ByteString -> IO ByteString
api = interpreter rootResolver

See morpheus-graphql-examples for more sophisticated APIs.

Example implementation of a GraphQL server with type-level representation of the schema auto-generated:

{-# LANGUAGE DataKinds #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE PartialTypeSignatures #-}
{-# LANGUAGE TypeApplications #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE TypeOperators #-}
 
-- imports omitted for brevity...
 
graphql "Library" "library.graphql" -- all the magic happens here! 🪄🎩
 
-- ... a bit more code...
 
libraryServer :: SqlBackend -> ServerT ObjectMapping i Library ServerErrorIO _
libraryServer conn =
  resolver
    ( object @"Book"
        ( field @"id" bookId,
          field @"title" bookTitle,
          field @"author" bookAuthor,
          field @"imageUrl" bookImage
        ),
      object @"Author"
        ( field @"id" authorId,
          field @"name" authorName,
          field @"books" authorBooks
        ),
      object @"Query"
        ( method @"authors" allAuthors,
          method @"books" allBooks
        ),
      object @"Mutation"
        ( method @"newAuthor" newAuthor,
          method @"newBook" newBook
        ),
      object @"Subscription"
        (method @"allBooks" allBooksConduit)
    )
  where
    bookId :: Entity Book -> ServerErrorIO Integer
    bookId (Entity (BookKey k) _) = pure $ toInteger k
    -- ... more resolvers...

See our docs for more information about how to build your own GraphQL server and the library example for a more end-to-end example that includes a client written in Elm!

A strongly-typed GraphQL client implementation in Haksell.

GraphQL Calculator is a lightweight graphql calculation engine, which is used to alter execution behavior of graphql query.

Here are some examples on how to use GraphQL Calculator on graphql query.

query basicMapValue($userIds:[Int]){
    userInfoList(userIds:$userIds)
    {
        id
        age
        firstName
        lastName
        fullName: stringHolder @map(mapper: "firstName + lastName")
    }
}
query filterUserByAge($userId:[Int]){
    userInfoList(userIds: $userId)
    @filter(predicate: "age>=18")
    {
        userId
        age
        firstName
        lastName
    }
}
query parseFetchedValueToAnotherFieldArgumentMap($itemIds:[Int]){
        itemList(itemIds: $itemIds){
            # save sellerId as List<Long> with unique name "sellerIdList"
            sellerId @fetchSource(name: "sellerIdList")
            name
            saleAmount
            salePrice
        }
        userInfoList(userIds: 1)
        # transform the argument of "userInfoList" named "userIds" according to expression "sellerIdList" and expression argument, 
        # which mean replace userIds value by source named "sellerIdList"
        @argumentTransform(argumentName: "userIds", 
            operateType: MAP, 
            expression: "sellerIdList", 
            dependencySources: ["sellerIdList"]
        ){
            userId
            name
            age
        }
}

See graphql-calculator README for more information.

Code that executes a hello world GraphQL query with graphql-java:

import graphql.ExecutionResult;
import graphql.GraphQL;
import graphql.schema.GraphQLSchema;
import graphql.schema.StaticDataFetcher;
import graphql.schema.idl.RuntimeWiring;
import graphql.schema.idl.SchemaGenerator;
import graphql.schema.idl.SchemaParser;
import graphql.schema.idl.TypeDefinitionRegistry;
 
import static graphql.schema.idl.RuntimeWiring.newRuntimeWiring;
 
public class HelloWorld {
 
    public static void main(String[] args) {
        String schema = "type Query{hello: String} schema{query: Query}";
 
        SchemaParser schemaParser = new SchemaParser();
        TypeDefinitionRegistry typeDefinitionRegistry = schemaParser.parse(schema);
 
        RuntimeWiring runtimeWiring = new RuntimeWiring()
                .type("Query", builder -> builder.dataFetcher("hello", new StaticDataFetcher("world")))
                .build();
 
        SchemaGenerator schemaGenerator = new SchemaGenerator();
        GraphQLSchema graphQLSchema = schemaGenerator.makeExecutableSchema(typeDefinitionRegistry, runtimeWiring);
 
        GraphQL build = GraphQL.newGraphQL(graphQLSchema).build();
        ExecutionResult executionResult = build.execute("{hello}");
 
        System.out.println(executionResult.getData().toString());
        // Prints: {hello=world}
    }
}

See the graphql-java docs for more information on setup.

GraphQL Kotlin follows a code first approach for generating your GraphQL schemas. Given the similarities between Kotlin and GraphQL, such as the ability to define nullable/non-nullable types, a schema can be generated from Kotlin code without any separate schema specification. To create a reactive GraphQL web server add following dependency to your Gradle build file:

// build.gradle.kts
implementation("com.expediagroup", "graphql-kotlin-spring-server", latestVersion)

We also need to provide a list of supported packages that can be scanned for exposing your schema objects through reflections. Add following configuration to your application.yml file:

graphql:
  packages:
    - "com.your.package"

With the above configuration we can now create our schema. In order to expose your queries, mutations and/or subscriptions in the GraphQL schema you simply need to implement corresponding marker interface and they will be automatically picked up by graphql-kotlin-spring-server auto-configuration library.

@Component
class HelloWorldQuery : Query {
  fun helloWorld() = "Hello World!!!"
}

This will result in a reactive GraphQL web application with following schema:

type Query {
  helloWorld: String!
}

See graphql-kotlin docs for additial details.

Here's an example on how to create a simple schema based on a kotlin data class plus a property resolver that gets applied onto your class.

data class Article(val id: Int, val text: String)
 
fun main() {
    val schema = KGraphQL.schema {
        query("article") {
            resolver { id: Int?, text: String ->
                Article(id ?: -1, text)
            }
        }
        type<Article> {
            property<String>("fullText") {
                resolver { article: Article ->
                    "${article.id}: ${article.text}"
                }
            }
        }
    }
 
    schema.execute("""
        {
            article(id: 5, text: "Hello World") {
                id
                fullText
            }
        }
    """).let(::println)
}

KGraphQL is using coroutines behind the scenes to provide great asynchronous performance.

See KGraphQL docs for more in depth usage.

Ktor Plugin#

KGraphQL has a Ktor plugin which gives you a fully functional GraphQL server with a single install function call. Example below shows how to set up a GraphQL server within Ktor and it will give you a GraphQL Playground out of the box by entering localhost:8080/graphql.

fun Application.module() {
  install(GraphQL) {
    playground = true 
    schema {
      query("hello") {
        resolver { -> "World!" }
      }
    }
  }
}

You can follow the Ktor tutorial to set up a KGraphQL server with ktor from scratch up.

A strongly-typed, caching GraphQL client for Android, written in Java.

GraphQL Kotlin provides a set of lightweight type-safe GraphQL HTTP clients. The library provides Ktor HTTP client and Spring WebClient based reference implementations as well as allows for custom implementations using other engines. Type-safe data models are generated at build time by the GraphQL Kotlin Gradle and Maven plugins.

To generate Ktor based GraphQL client add following to your Gradle build file:

// build.gradle.kts
import com.expediagroup.graphql.plugin.generator.GraphQLClientType
import com.expediagroup.graphql.plugin.gradle.graphql
 
plugins {
    id("com.expediagroup.graphql") version $latestGraphQLKotlinVersion
}
 
dependencies {
  implementation("com.expediagroup:graphql-kotlin-ktor-client:$latestGraphQLKotlinVersion")
}
 
graphql {
    client {
        // target GraphQL endpoint
        endpoint = "http://localhost:8080/graphql"
        // package for generated client code
        packageName = "com.example.generated"
        clientType = GraphQLClientType.KTOR
    }
}

By default, GraphQL Kotlin plugin will look for query files under src/main/resources. Given helloWorld: String! query we can add following HelloWorldQuery.graphql sample query to our repo:

query HelloWorldQuery {
  helloWorld
}

Plugin will generate following client code:

package com.example.generated
 
import com.expediagroup.graphql.client.GraphQLKtorClient
import com.expediagroup.graphql.types.GraphQLResponse
import kotlin.String
 
const val HELLO_WORLD_QUERY: String = "query HelloWorldQuery {\n    helloWorld\n}"
 
class HelloWorldQuery(
  private val graphQLClient: GraphQLKtorClient<*>
) {
  suspend fun execute(requestBuilder: HttpRequestBuilder.() -> Unit = {}): GraphQLResponse<HelloWorldQuery.Result> =
      graphQLClient.execute(HELLO_WORLD_QUERY, "HelloWorldQuery", null, requestBuilder)
 
  data class Result(
    val helloWorld: String
  )
}

We can then execute the client

package com.example.client
 
import com.expediagroup.graphql.client.GraphQLKtorClient
import com.expediagroup.graphql.generated.HelloWorldQuery
import kotlinx.coroutines.runBlocking
import java.net.URL
 
fun main() {
    val client = GraphQLKtorClient(url = URL("http://localhost:8080/graphql"))
    val helloWorldQuery = HelloWorldQuery(client)
    runBlocking {
        val result = helloWorldQuery.execute()
        println("hello world query result: ${result.data?.helloWorld}")
    }
    client.close()
}

See graphql-kotlin docs for additial details.

A GraphQL JVM Client designed for constructing queries from standard model definitions. By American Express.

• GraphQL Java client: it generates the Java classes that call the GraphQL endpoint, and the POJO that will contain the data returned by the server. The GraphQL endpoint can then be queried by using a simple call to a Java method (see sample below)
• GraphQL Java server: it is based on graphql-java (listed here above). It generates all the boilerplate code. You'll only have to implement what's specific to your server, which are the joins between the GraphQL types. GraphQL Java Generator is available as a Maven Plugin. A Gradle plugin is coming soon. Please note that GraphQL Java Generator is an accelerator: the generated code doesn’t depend on any library specific to GraphQL Java Generator. So, it helps you to start building application based on graphql-java. Once the code is generated, you can decide to manually edit it as any standard java application, and get rid of GraphQL Java Generator. Of course you can, and should, according to us :), continue using GraphQL Java Generator when your projet evolves.

A Julia GraphQL server implementation.

GraphQL server library for OCaml and Reason

• MetaCPAN documentation

  • Mojolicious-Plugin-GraphQL - connect your GraphQL service to a Mojolicious app

  • GraphQL-Plugin-Convert-DBIC - automatically connect your DBIx::Class schema to GraphQL

  • GraphQL-Plugin-Convert-OpenAPI - automatically connect any OpenAPI service (either local Mojolicious one, or remote) to GraphQL

The following class is enough to create both a Relay-compatible GraphQL server and a hypermedia API supporting modern REST formats (JSON-LD, JSONAPI...):

<?php
 
namespace AppEntity;
 
use ApiPlatformCoreAnnotationApiResource;
use DoctrineORMMapping as ORM;
 
/**
 * Greet someone!
 *
 * @ApiResource
 * @ORMEntity
 */
class Greeting
{
    /**
     * @ORMId
     * @ORMColumn(type="guid")
     */
    public $id;
 
    /**
     * @var string Your nice message
     *
     * @ORMColumn
     */
    public $hello;
}

Other API Platform features include data validation, authentication, authorization, deprecations, cache and GraphiQL integration.

GraPHPinator is feature complete PHP implementation of GraphQL server. Its job is transformation of query string into resolved Json result for a given Schema.

• Aims to be compliant with the latest draft of GraphQL specification.
• Fully typesafe, and therefore minimum required PHP version is 8.0. Sacrafices a tiny bit of convenience for huge amount of clarity and safety - no random configuration arrays, no mixed types, no variable function arguments - this library doesnt try to save you from verbosity, but makes sure you always know what you've got.
• Code first.
• Flexible. Easy to extend with extra functionality using Modules or middleware Directives.
• Includes some opt-in extensions which are out of scope of official specs:
  • Printer - Schema printing for GraPHPinator typesystem.
  • Extra types - Some useful and commonly used types, both scalar or composite.
  • Constraint directives - Typesystem directives to declare additional validation on top of GraphQL typesystem.
  • Where directives - Executable directives to filter values in lists.
  • File upload using multipart-formdata specs (currently bundled).
  • Query cost limit module - Modules to limit query cost by restricting maximum depth or number of nodes.
• Project is composed from multiple smaller packages, which may be used standalone:
  • Tokenizer - Lexical analyzer of GraphQL document.
  • Parser - Syntactic analyzer of GraphQL document.

A GraphQL server for WordPress. Based on GraphQL by PoP

GraphQL by PoP follows the code-first approach to generate the schema (it can be customized for different clients/applications). Fields are dynamically "subscribed" to types, and may or may not be added to the schema depending on the context.

This is how a User type is satisfied:

class UserTypeResolver extends AbstractTypeResolver
{
  public function getTypeName(): string
  {
    return 'User';
  }
 
  public function getSchemaTypeDescription(): ?string
  {
    $translationAPI = TranslationAPIFacade::getInstance();
    return $translationAPI->__('Representation of a user', 'users');
  }
 
  public function getID(object $user)
  {
    return $user->ID;
  }
 
  public function getTypeDataLoaderClass(): string
  {
    return UserTypeDataLoader::class;
  }
}

Please notice how the TypeResolver does not indicate which are its fields. It also does not load the objects from the database, but instead delegates this task to a TypeDataLoader.

Adding fields to the type is done via a FieldResolver:

class UserFieldResolver extends AbstractDBDataFieldResolver
{
  public static function getClassesToAttachTo(): array
  {
    return [
      UserTypeResolver::class,
    ];
  }
 
  public static function getFieldNamesToResolve(): array
  {
    return [
      'username',
      'email',
      'url',
    ];
  }
 
  public function getSchemaFieldDescription(
    TypeResolverInterface $typeResolver,
    string $fieldName
  ): ?string {
    $translationAPI = TranslationAPIFacade::getInstance();
    $descriptions = [
      'username' => $translationAPI->__("User's username handle", "users"),
      'email' => $translationAPI->__("User's email", "users"),
      'url' => $translationAPI->__("URL of the user's profile in the website", "users"),
    ];
    return $descriptions[$fieldName];
  }
 
  public function getSchemaFieldType(
    TypeResolverInterface $typeResolver,
    string $fieldName
  ): ?string {
    $types = [
      'username' => SchemaDefinition::TYPE_STRING,
      'email' => SchemaDefinition::TYPE_EMAIL,
      'url' => SchemaDefinition::TYPE_URL,
    ];
    return $types[$fieldName];
  }
 
  public function resolveValue(
    TypeResolverInterface $typeResolver,
    object $user,
    string $fieldName,
    array $fieldArgs = []
  ) {
    switch ($fieldName) {
      case 'username':
        return $user->user_login;
 
      case 'email':
        return $user->user_email;
 
      case 'url':
        $userService = UserServiceFacade::getInstance();
        return $userService->getUserProfileURL($user->ID);
    }
 
    return null;
  }
}

The definition of a field for the GraphQL schema, and its resolution, is split into a multitude of functions from the FieldResolver:

• getSchemaFieldDescription
• getSchemaFieldType
• resolveValue
• getSchemaFieldArgs
• isSchemaFieldResponseNonNullable
• getImplementedInterfaceClasses
• resolveFieldTypeResolverClass
• resolveFieldMutationResolverClass

This code is more legible than if all functionality is satisfied through a single function, or through a configuration array, making it easier to implement and maintain the resolvers.

A PHP port of GraphQL reference implementation

A library to help construct a graphql-php server supporting react-relay.

A GraphQL server for Symfony

It is framework agnostic with bindings available for Symfony and Laravel. This code declares a "product" query and a "Product" Type:

class ProductController
{
    /**
     * @Query()
     */
    public function product(string $id): Product
    {
        // Some code that looks for a product and returns it.
    }
}
 
/**
 * @Type()
 */
class Product
{
    /**
     * @Field()
     */
    public function getName(): string
    {
        return $this->name;
    }
    // ...
}

Other GraphQLite features include validation, security, error handling, loading via data-loader pattern...

A GraphQL server for Laravel

A PHP GraphQL Framework.

Use GraphQL to define your Domain Model for CQRS/ES and let serge generate code to handle GraphQL requests.

To run a Siler hello world script:

type Query {
  hello: String
}

<?php
declare(strict_types=1);
require_once '/path/to/vendor/autoload.php';
 
use SilerDiactoros;
use SilerGraphql;
use SilerHttp;
 
$typeDefs = file_get_contents(__DIR__.'/schema.graphql');
$resolvers = [
    'Query' => [
        'hello' => 'world',
    ],
];
$schema = Graphqlschema($typeDefs, $resolvers);
 
echo "Server running at http://127.0.0.1:8080";
 
Httpserver(Graphqlpsr7($schema), function (Throwable $err) {
    var_dump($err);
    return Diactorosjson([
        'error'   => true,
        'message' => $err->getMessage(),
    ]);
})()->run();

It also provides functionality for the construction of a WebSocket Subscriptions Server based on how Apollo works.

A free, open-source WordPress plugin that provides an extendable GraphQL schema and API for any WordPress site

Ariadne can be installed with pip:

pip install ariadne

It ships with many GraphQL server implementations, enabling easy experimentation:

from ariadne import ObjectType, QueryType, gql, make_executable_schema
from ariadne.asgi import GraphQL
# Define types using Schema Definition Language (https://graphql.org/learn/schema/)
# Wrapping string in gql function provides validation and better error traceback
type_defs = gql("""
    type Query {
        hello: String!
    }
""")
# Bind resolver functions to Query's fields using QueryType
query_type = QueryType()
# Resolvers are simple python functions
@query_type.field("hello")
def resolve_hello(*_):
    return "Hello world!"
# Create executable GraphQL schema
schema = make_executable_schema(type_defs, query_type)
# Create an ASGI app using the schema, running in debug mode
app = GraphQL(schema, debug=True)

Above server can be ran with uvicorn:

pip install uvicorn
uvicorn example:app

To run a Graphene hello world script:

pip install graphene

Then run python hello.py with this code in hello.py:

import graphene
 
class Query(graphene.ObjectType):
  hello = graphene.String(name=graphene.String(default_value="World"))
 
  def resolve_hello(self, info, name):
    return 'Hello ' + name
 
schema = graphene.Schema(query=Query)
result = schema.execute('{ hello }')
print(result.data['hello']) # "Hello World"

There are also nice bindings for Relay, Django, SQLAlchemy, and Google App Engine.

Here's an example of a Strawberry hello world, first install the library:

pip install strawberry-graphql

Create an app.py file with this content:

import strawberry
 
@strawberry.type
class Query:
    @strawberry.field
    def hello(self, name: str = "World") -> str:
        return f"Hello {name}"
 
schema = strawberry.Schema(query=Query)

Then run strawberry server app and you will have a basic schema server running on http://localhost:8000/.

Strawberry also has views for ASGI, Flask and Django and provides utilities like dataloaders and tracing.

To run a tartiflette hello world script:

pip install tartiflette

Then run python hello.py with this code in hello.py:

import asyncio
from tartiflette import Engine, Resolver
@Resolver("Query.hello")
async def resolver_hello(parent, args, ctx, info):
    return "hello " + args["name"]
async def run():
    tftt_engine = Engine("""
    type Query {
        hello(name: String): String
    }
    """)
    result = await tftt_engine.execute(
        query='query { hello(name: "Chuck") }'
    )
    print(result)
    # {'data': {'hello': 'hello Chuck'}}
if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(run())

There is also a nice HTTP wrapper.

A GraphQL client in Python.

Simple GraphQL client for Python 2.7+.

A simple Python GraphQL client. Supports generating code generation for types defined in a GraphQL schema.

General purpose GraphQL R client

 use async_graphql::*;
 struct Query;
 #[Object]
 impl Query {
    /// Returns the sum of a and b
    async fn add(&self, a: i32, b: i32) -> i32 {
        a + b
    }
 }

GraphQL server library for Rust

A client library for rust that generates queries from types you provide, verifying that the types match the shape of your schema.

It provides a generator to bootstrap types from existing GraphQL queries.

Usage example:

#[derive(cynic::QueryFragment, Debug)]
#[cynic(
    schema_path = "../schemas/starwars.schema.graphql",
    query_module = "query_dsl",
    graphql_type = "Root",
    argument_struct = "FilmArguments"
)]
struct FilmDirectorQuery {
    #[arguments(id = &args.id)]
    film: Option<Film>,
}
 
#[derive(cynic::QueryFragment, Debug)]
#[cynic(
    schema_path = "../schemas/starwars.schema.graphql",
    query_module = "query_dsl",
    graphql_type = "Film"
)]
struct Film {
    title: Option<String>,
    director: Option<String>,
}
 
#[derive(cynic::FragmentArguments)]
struct FilmArguments {
    id: Option<cynic::Id>,
}
 
fn main() {
    use cynic::{QueryBuilder, http::ReqwestBlockingExt};
 
    let query = FilmDirectorQuery::build(&FilmArguments {
        id: Some("ZmlsbXM6MQ==".into()),
    })
 
    reqwest::blocking::Client::new()
        .post("https://swapi-graphql.netlify.com/.netlify/functions/index")
        .run_graphql(query)
        .unwrap()
}
 
mod query_dsl {
    cynic::query_dsl!("../schemas/starwars.schema.graphql");
}

Usage example

use gql_client::Client;
 
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
  let endpoint = "https://graphqlzero.almansi.me/api";
  let query = r#"
    query AllPostsQuery {
      posts {
        data {
          id
        }
      }
    }
  "#;
 
  let client = Client::new(endpoint);
  let data: AllPosts = client.query::<AllPosts>(query).await.unwrap();
 
  println!("{:?}" data);
 
  Ok(())
}

An example of a GraphQL schema and query with caliban:

import caliban.GraphQL.graphQL
import caliban.RootResolver
 
case class Character(name: String, age: Int)
 
def getCharacters(): List[Character] = ??? 
 
// schema
case class Queries(characters: List[Character])
 
// resolver
val queries = Queries(getCharacters)
 
val api = graphQL(RootResolver(queries))
 
for {
  interpreter <- api.interpreter
  result      <- interpreter.execute("{ characters { name } }")
} yield result

An example of a hello world GraphQL schema and query with sangria:

import sangria.schema._
import sangria.execution._
import sangria.macros._
 
val QueryType = ObjectType("Query", fields[Unit, Unit](
  Field("hello", StringType, resolve = _ ⇒ "Hello world!")
))
 
val schema = Schema(QueryType)
 
val query = graphql"{ hello }"
 
Executor.execute(schema, query) map println

Functional GraphQL library for Scala, with client code generation and type-safe queries.

Swift library for building GraphQL schemas/types fast, safely and easily.

Swift library for writing Declarative, Type-Safe GraphQL APIs with Zero Boilerplate.

A GraphQL client for iOS that returns results as query-specific Swift types, and integrates with Xcode to show your Swift source and GraphQL side by side, with inline validation errors.

A Tool for Writing Declarative, Type-Safe and Data-Driven Applications in SwiftUI using GraphQL and Apollo

An Objective-C GraphQL client for iOS.

SwiftGraphQL is a Swift code generator and a lightweight GraphQL client. It lets you create queries using Swift, and guarantees that every query you create is valid.

The library is centered around three core principles:

🚀 If your project compiles, your queries work. 🦉 Use Swift in favour of GraphQL wherever possible. 🌳 Your application model should be independent of your schema.

Here's a short preview of the SwiftGraphQL code

import SwiftGraphQL
 
// Define a Swift model.
struct Human: Identifiable {
    let id: String
    let name: String
    let homePlanet: String?
}
 
// Create a selection.
let human = Selection.Human {
    Human(
        id: try $0.id(),
        name: try $0.name(),
        homePlanet: try $0.homePlanet()
    )
}
 
// Construct a query.
let query = Selection.Query {
    try $0.humans(human.list)
}
 
// Perform the query.
send(query, to: "http://swift-graphql.heroku.com") { result in
    if let data = try? result.get() {
        print(data) // [Human]
    }
}

To run a hello world script with graphql-ruby:

gem install graphql

Then run ruby hello.rb with this code in hello.rb:

require 'graphql'
 
class QueryType < GraphQL::Schema::Object
  graphql_name 'Query'
  field :hello do
    type types.String
    resolve -> (obj, args, ctx) { 'Hello world!' }
  end
end
 
class Schema < GraphQL::Schema
  query QueryType
end
 
puts Schema.execute('{ hello }').to_json

There are also nice bindings for Relay and Rails.

require 'agoo'
 
class Query
  def hello
    'hello'
  end
end
 
class Schema
  attr_reader :query
 
  def initialize
    @query = Query.new()
  end
end
 
Agoo::Server.init(6464, 'root', thread_count: 1, graphql: '/graphql')
Agoo::Server.start()
Agoo::GraphQL.schema(Schema.new) {
  Agoo::GraphQL.load(%^type Query { hello: String }^)
}
sleep
 
# To run this GraphQL example type the following then go to a browser and enter
# a URL of localhost:6464/graphql?query={hello}
#
# ruby hello.rb

To run a GraphQL.js hello world script from the command line:

npm install graphql

Then run node hello.js with this code in hello.js:

var { graphql, buildSchema } = require('graphql');
 
var schema = buildSchema(`
  type Query {
    hello: String
  }
`);
 
var root = { hello: () => 'Hello world!' };
 
graphql(schema, '{ hello }', root).then((response) => {
  console.log(response);
});

To run a hello world server with apollo-server-express:

npm install apollo-server-express express

Then run node server.js with this code in server.js:

const express = require('express');
const { ApolloServer, gql } = require('apollo-server-express');
 
const typeDefs = gql`
  type Query {
    hello: String
  }
`;
 
const resolvers = {
  Query: {
    hello: () => 'Hello world!',
  },
};
 
const server = new ApolloServer({ typeDefs, resolvers });
 
const app = express();
server.applyMiddleware({ app });
 
app.listen({ port: 4000 }, () =>
  console.log('Now browse to http://localhost:4000' + server.graphqlPath)
);

Apollo Server also supports all Node.js HTTP server frameworks: Express, Connect, HAPI, Koa and NestJs.

To run an express-graphql hello world server:

npm install express express-graphql graphql

Then run node server.js with this code in server.js:

var express = require('express');
var { graphqlHTTP } = require('express-graphql');
var { buildSchema } = require('graphql');
 
var schema = buildSchema(`
  type Query {
    hello: String
  }
`);
 
var root = { hello: () => 'Hello world!' };
 
var app = express();
app.use('/graphql', graphqlHTTP({
  schema: schema,
  rootValue: root,
  graphiql: true,
}));
app.listen(4000, () => console.log('Now browse to localhost:4000/graphql'));

To run a hello world server with GraphQL Helix:

npm install graphql graphql-helix express

Then run node server.js with this code in server.js:

const express = require('express')
const {
  GraphQLObjectType,
  GraphQLSchema,
  GraphQLString
} = require('graphql');
const {
  getGraphQLParameters,
  processRequest,
  renderGraphiQL,
  shouldRenderGraphiQL
} = require('graphql-helix');
 
const schema = new GraphQLSchema({
  query: new GraphQLObjectType({
    name: 'Query',
    fields: {
      hello: {
        type: GraphQLString,
        resolve: () => 'Hello world!',
      },
    },
  }),
});
 
const app = express();
 
app.use(express.json());
 
app.use('/graphql', async (req, res) => {
  const request = {
    body: req.body,
    headers: req.headers,
    method: req.method,
    query: req.query,
  };
 
  if (shouldRenderGraphiQL(request)) {
    res.send(renderGraphiQL());
  } else {
    const { operationName, query, variables } = getGraphQLParameters(request);
 
    const result = await processRequest({
      operationName,
      query,
      variables,
      request,
      schema,
    });
 
    if (result.type === 'RESPONSE') {
      result.headers.forEach(({ name, value }) => res.setHeader(name, value));
      res.status(result.status);
      res.json(result.payload);
    } else {
    // graphql-helix also supports subscriptions and incremental delivery (i.e. @defer and @stream directives)
    // out of the box. See the repo for more complete examples that also implement those features.
    }
  }
});
 
app.listen(4000, () =>
  console.log('Now browse to http://localhost:4000/graphql');
)

This example uses Express, but GraphQL Helix is framework- and runtime-agnostic -- it can run in Node, Deno and the browser. GraphQL Helix provides you with a handful of utility functions to build your own HTTP server but leaves the ultimate implementation details up to you.

• Sensible defaults & includes everything you need with minimal setup.
• Built-in support for GraphQL subscriptions using WebSockets.
• Works with all GraphQL clients (Apollo, Relay...) and fits seamless in your GraphQL workflow.

To run a hello world server with graphql-yoga:

npm install graphql-yoga

Then run node server.js with this code in server.js:

import { GraphQLServer } from 'graphql-yoga'
// ... or using "require()"
// const { GraphQLServer } = require('graphql-yoga')
const typeDefs = `
  type Query {
    hello(name: String): String!
  }
`;
const resolvers = {
  Query: {
    hello: (_, { name }) => `Hello ${name || 'World'}`,
  },
};
const server = new GraphQLServer({ typeDefs, resolvers })
server.start(() => console.log('Server is running on localhost:4000'))

A simple and flexible JavaScript GraphQL client that works in all JavaScript environments (the browser, Node.js, and React Native) - basically a lightweight wrapper around fetch.

A powerful JavaScript GraphQL client, designed to work well with React, React Native, Angular 2, or just plain JavaScript.