Pros of Graphene

• Graphene has a larger community and more contributors, which can lead to faster development and more support.
• Graphene provides a more comprehensive set of features, including support for mutations, subscriptions, and more.
• Graphene has better documentation and more examples available, which can make it easier to get started.

Cons of Graphene

• Ariadne has a simpler and more lightweight API, which may be preferred by some developers.
• Ariadne is more focused on performance and scalability, which may be important for certain use cases.
• Ariadne has a more modern and flexible architecture, which may be more future-proof.

Code Comparison

Graphene:

import graphene

class Query(graphene.ObjectType):
    hello = graphene.String()

    def resolve_hello(self, info):
        return "World"

schema = graphene.Schema(query=Query)

Ariadne:

from ariadne import QueryType, make_executable_schema

type_defs = """
    type Query {
        hello: String!
    }
"""

query = QueryType()

@query.field("hello")
def resolve_hello(*_):
    return "World"

schema = make_executable_schema(type_defs, [query])

Pros of Strawberry

• Strawberry provides a more Pythonic and intuitive API for defining GraphQL schemas and resolvers, with the use of Python type annotations and decorators.
• Strawberry has a simpler and more lightweight codebase compared to Ariadne, which can be beneficial for smaller projects or those with specific performance requirements.
• Strawberry's documentation is generally considered to be more user-friendly and easier to navigate.

Cons of Strawberry

• Strawberry has a smaller community and ecosystem compared to Ariadne, which may mean fewer available resources, plugins, and third-party integrations.
• Strawberry's performance may not be as optimized as Ariadne's, especially for larger and more complex GraphQL schemas.
• Strawberry's error handling and debugging capabilities may not be as robust as Ariadne's.

Code Comparison

Ariadne (defining a query resolver):

@query_field("hello")
def resolve_hello(_, info):
    return "Hello, world!"

Strawberry (defining a query resolver):

@strawberry.type
class Query:
    @strawberry.field
    def hello(self) -> str:
        return "Hello, world!"

Both examples demonstrate how to define a simple "hello" query resolver, but the Strawberry version uses a more Pythonic approach with type annotations and decorators.

Pros of graphql-python/gql

• Supports both GraphQL query and mutation operations
• Provides a simple and intuitive API for interacting with GraphQL servers
• Includes built-in support for handling GraphQL errors and responses

Cons of graphql-python/gql

• Lacks some of the advanced features and flexibility offered by Ariadne
• May have a steeper learning curve for developers unfamiliar with the library
• Limited documentation and community support compared to Ariadne

Code Comparison

Ariadne:

from ariadne import QueryType, make_executable_schema

query = QueryType()

@query.field("hello")
def resolve_hello(_, info):
    return "Hello, world!"

schema = make_executable_schema(type_defs, [query])

gql:

from gql import gql, Client
from gql.transport.requests import RequestsHTTPTransport

transport = RequestsHTTPTransport(url="https://your-graphql-server.com/graphql")
client = Client(transport=transport, fetch_schema_from_transport=True)

query = gql(
    """
    query {
        hello
    }
    """
)

result = client.execute(query)
print(result["hello"])

Pros of Starlette

• Starlette is a lightweight and fast ASGI web framework, making it a good choice for building high-performance web applications.
• Starlette has a modular design, allowing developers to easily integrate third-party libraries and components.
• Starlette provides built-in support for WebSockets, GraphQL, and other modern web technologies.

Cons of Starlette

• Starlette has a smaller community compared to Ariadne, which may result in fewer available resources and third-party packages.
• Starlette's documentation, while comprehensive, may not be as user-friendly as Ariadne's.

Code Comparison

Starlette:

from starlette.applications import Starlette
from starlette.responses import JSONResponse

app = Starlette()

@app.route("/")
async def homepage(request):
    return JSONResponse({"message": "Hello, World!"})

Ariadne:

from ariadne import QueryType, make_executable_schema

type_defs = """
    type Query {
        hello: String!
    }
"""

query = QueryType()

@query.field("hello")
def resolve_hello(*_):
    return "Hello, World!"

schema = make_executable_schema(type_defs, query)