wagtail-grapple
Graphene
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wagtail-grapple | Graphene | |
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1 | 19 | |
147 | 7,973 | |
1.4% | 0.6% | |
7.6 | 4.3 | |
6 days ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
wagtail-grapple
Graphene
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Who moved my error codes? Adding error types to your GoLang GraphQL Server
And gqlgen is not alone in this. We found several more GraphQL frameworks that don’t take it upon themselves to address this problem. Widely used GraphQL server implementations, such as graphql-go/graphql and Python’s graphene, have the exact same gap of exposing messages of unexpected errors by default.
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Using GraphQL with Strawberry, FastAPI, and Next.js
There are multiple Python-based GraphQL libraries and they all vary slightly from each other. For the longest time, Graphene was a natural choice as it was the oldest and was used in production at different companies, but now other newer libraries have also started gaining some traction.
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Wasmer and Trademarks
> But you need to know that Wasmer and its sibling projects will stay free forever. We are open source lovers, all of us, and we have a strong background on working on open source projects before joining Wasmer too.
That's great. I'm sure the closed source paid 10x faster editions of the graphene Python GraphQL server written by Syrus "CEO of Graphene" and CEO of wasmer will be open sourced in this spirit.
https://github.com/graphql-python/graphene/issues/268#issuec...
http://graphql-quiver.com/
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graphene django with cloudinary model field
CloudinaryField is a custom model field not a django built in one and graphene-python doesn't know what do with it. See the list of types it does https://github.com/graphql-python/graphene/tree/master/graphene/types
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[Python] What minimal application server do you run your Python x GraphQL services with? Django, Flask....
Thanks for the reply, I was looking at Strawberry a bit but not enough documentation for a graphql noob like me... Hate to turn this into tech support but could you potentially answer a question for me? I'm having a really hard time figuring out how to do this. Given this example: https://github.com/graphql-python/graphene/blob/master/examples/simple_example.py and a slight modification:
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Strawberry Django Plus: Enchanted Strawberry GraphQL integration with Django
Graphene was one of the first (if not the first) lib built on top of graphql-core to provide an easy to use api to build graphql applications. It's been around since 2015 and has a lot of integrations built for it (e.g. Django, SQL Alchemy, etc).
- Graphene – Python GraphQL Library
- Graphene 3.0 is released
- Graphene 3.0 Is Released
What are some alternatives?
django-graphql-auth - Django registration and authentication with GraphQL.
strawberry - A GraphQL library for Python that leverages type annotations 🍓
DjangoChannelsGraphqlWs - Django Channels based WebSocket GraphQL server with Graphene-like subscriptions
ariadne - Python library for implementing GraphQL servers using schema-first approach.
graphene-django - Build powerful, efficient, and flexible GraphQL APIs with seamless Django integration.
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.
Wagtail - A Django content management system focused on flexibility and user experience
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
consumerfinance.gov - Django project protecting American consumers
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
longclaw - A shop for Wagtail CMS
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production