3.1 KiB
Please read UPGRADE-v1.0.md to learn how to upgrade to Graphene 1.0
.
Graphene
Graphene is a Python library for building GraphQL schemas/types fast and easily.
- Easy to use: Graphene helps you use GraphQL in Python without effort.
- Relay: Graphene has builtin support for Relay
- Data agnostic: Graphene supports any kind of data source: SQL (Django, SQLAlchemy), NoSQL, custom Python objects, etc. We believe that by providing a complete API you could plug Graphene anywhere your data lives and make your data available through GraphQL.
Integrations
Graphene has multiple integrations with different frameworks:
integration | Package |
---|---|
Django | graphene-django |
SQLAlchemy | graphene-sqlalchemy |
Google App Engine | graphene-gae |
Peewee | In progress (Tracking Issue) |
Installation
For instaling graphene, just run this command in your shell
pip install "graphene>=1.0"
1.0 Upgrade Guide
Please read UPGRADE-v1.0.md to learn how to upgrade.
Examples
Here is one example for you to get started:
class Query(graphene.ObjectType):
hello = graphene.String(description='A typical hello world')
def resolve_hello(self, args, context, info):
return 'World'
schema = graphene.Schema(query=Query)
Then Querying graphene.Schema
is as simple as:
query = '''
query SayHello {
hello
}
'''
result = schema.execute(query)
If you want to learn even more, you can also check the following examples:
- Basic Schema: Starwars example
- Relay Schema: Starwars Relay example
Contributing
After cloning this repo, ensure dependencies are installed by running:
pip install .[test]
After developing, the full test suite can be evaluated by running:
py.test graphene --cov=graphene --benchmark-skip # Use -v -s for verbose mode
You can also run the benchmarks with:
py.test graphene --benchmark-only
Documentation
The documentation is generated using the excellent Sphinx and a custom theme.
The documentation dependencies are installed by running:
cd docs
pip install -r requirements.txt
Then to produce a HTML version of the documentation:
make html