💬 Join the community on Discord
We are looking for contributors! Please check the current issues to see how you can help ❤️
Graphene is an opinionated Python library for building GraphQL schemas/types fast and easily.
Graphene has multiple integrations with different frameworks:
| integration | Package |
|---|---|
| SQLAlchemy | graphene-sqlalchemy |
| Mongo | graphene-mongo |
| Apollo Federation | graphene-federation |
| Django | graphene-django |
Also, Graphene is fully compatible with the GraphQL spec, working seamlessly with all GraphQL clients, such as Relay, Apollo and gql.
To install graphene, just run this command in your shell
pip install "graphene>=3.1"
Here is one example for you to get started:
import graphene class Query(graphene.ObjectType): hello = graphene.String(description='A typical hello world') def resolve_hello(self, 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:
Documentation and links to additional resources are available at https://docs.graphene-python.org/en/latest/
After cloning this repo, create a virtualenv and ensure dependencies are installed by running:
virtualenv venv source venv/bin/activate pip install -e ".[test]"
Well-written tests and maintaining good test coverage is important to this project. While developing, run new and existing tests with:
pytest graphene/relay/tests/test_node.py # Single file pytest graphene/relay # All tests in directory
Add the -s flag if you have introduced breakpoints into the code for debugging.
Add the -v ("verbose") flag to get more detailed test output. For even more detailed output, use -vv.
Check out the pytest documentation for more options and test running controls.
Regularly ensure your pre-commit hooks are up to date and enabled:
pre-commit install
You can also run the benchmarks with:
pytest graphene --benchmark-only
Graphene supports several versions of Python. To make sure that changes do not break compatibility with any of those versions, we use tox to create virtualenvs for each Python version and run tests with that version. To run against all Python versions defined in the tox.ini config file, just run:
tox
If you wish to run against a specific version defined in the tox.ini file:
tox -e py39
Tox can only use whatever versions of Python are installed on your system. When you create a pull request, GitHub Actions pipelines will also be running the same tests and report the results, so there is no need for potential contributors to try to install every single version of Python on their own system ahead of time. We appreciate opening issues and pull requests to make graphene even more stable & useful!
The documentation is generated using the excellent Sphinx and a custom theme.
An HTML version of the documentation is produced by running:
make docs


免费创建高清无水印Sora视频
Vora是一个免费创建高清无水印Sora视频的AI工具


最适合小白的AI自动化工作流平台
无需编码,轻松生成可复用、可变现的AI自动化工作流

大模型驱动的Excel数据处理工具
基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度 保持在0.8秒以内,支持超过100万行数据的即时分析。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


AI论文写作指导平 台
AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。


AI一键生成PPT,就用博思AIPPT!
博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。


AI赋能电商视觉革命,一站式智能商拍平台
潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。


企业专属的AI法律顾问
iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。


稳定高效的流量提升解决方案,助力品牌曝光
稳定高效的流量提升解决方案,助力品牌曝光


最新版Sora2模型免费使用,一键生成无水印视频
最新版Sora2模型免费使用,一键生成无水印视频
最新AI工具、AI资讯
独家AI资源、AI项目落地

微信扫一扫关注公众号