graphql-go VS Graphene

Compare graphql-go vs Graphene and see what are their differences.

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graphql-go Graphene
11 19
9,752 7,981
0.8% 0.4%
2.4 4.3
about 1 month ago 7 days ago
Go Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

graphql-go

Posts with mentions or reviews of graphql-go. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-25.

Graphene

Posts with mentions or reviews of Graphene. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-25.

What are some alternatives?

When comparing graphql-go and Graphene you can also consider the following projects:

jsonql - JSON query expression library in Golang.

strawberry - A GraphQL library for Python that leverages type annotations 🍓

gqlgen - go generate based graphql server library

ariadne - Python library for implementing GraphQL servers using schema-first approach.

graphql - graphql parser + utilities

tartiflette-aiohttp - tartiflette-aiohttp is a wrapper of aiohttp which includes the Tartiflette GraphQL Engine, do not hesitate to take a look of the Tartiflette project.

thunder - ⚡️ A Go framework for rapidly building powerful graphql services

AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python

gojsonq - A simple Go package to Query over JSON/YAML/XML/CSV Data

CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev

genqlient - a truly type-safe Go GraphQL client

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production