Property-based testing framework for Open API and GraphQL based apps
Project description
Schemathesis is a modern API testing tool for web applications built with Open API and GraphQL specifications.
It reads the application schema and generates test cases, which will ensure that your application is compliant with its schema (read more about how it works in our research paper).
The application under test could be written in any language; the only thing you need is a valid API schema in a supported format.
Simple to use and yet powerful to uncover hard-to-find errors thanks to the property-based testing approach backed by state-of-the-art Hypothesis library.
🚀 Schemathesis is available as a service, standalone CLI, or a Python library 🚀
The service enables you to verify your API schema in a few clicks, CLI gives more control. Schemathesis.io has a free tier, so you can combine the CLI flexibility with rich visuals by uploading your test results there.
Signup to reveal all issues on a dashboard.
Features
Open API: Schema conformance, explicit examples, stateful testing;
GraphQL: queries generation;
Multi-worker test execution;
Storing and replaying tests;
ASGI / WSGI support;
Generated code samples (cURL, Python);
Docker image;
Customizable checks & test generation
CLI installation
To install Schemathesis via pip run the following command:
pip install schemathesisThis command installs the schemathesis entrypoint + st as its alias.
You can also use our Docker image without installing Schemathesis as a Python package.
Usage
You can use Schemathesis in the command line directly (st is an alias to schemathesis):
st run --checks all https://example.schemathesis.io/openapi.jsonOr via Docker:
docker run schemathesis/schemathesis:stable \
run --checks all https://example.schemathesis.io/openapi.json
Or in your Python tests:
import schemathesis
schema = schemathesis.from_uri("https://example.schemathesis.io/openapi.json")
@schema.parametrize()
def test_api(case):
case.call_and_validate()CLI is simple to use and requires no coding; the in-code approach gives more flexibility.
Both examples above will run hundreds of requests against the API under test and report all found failures and inconsistencies along with instructions to reproduce them.
💡 See a complete working example project in the /example directory. 💡
Support
If you want to integrate Schemathesis into your company workflows or improve its effectiveness, feel free to reach out to support@schemathesis.io.
Schemathesis.io also runs workshops about effective API testing. Signup here
Contributing
Any contribution to development, testing, or any other area is highly appreciated and useful to the project. For guidance on how to contribute to Schemathesis, see the contributing guidelines.
Links
Documentation: https://schemathesis.readthedocs.io/en/stable/
Issue tracker: https://github.com/schemathesis/schemathesis/issues
Additional content:
Research paper: Deriving Semantics-Aware Fuzzers from Web API Schemas by @Zac-HD and @Stranger6667
An article about Schemathesis by @Stranger6667
Effective API schemas testing from DevConf.cz by @Stranger6667
A video from EuroPython 2020 by @hultner
Schemathesis tutorial with an accompanying video by Red Hat
Using Hypothesis and Schemathesis to Test FastAPI by @amalshaji
Non-English content:
A tutorial (RUS) about Schemathesis by @Stranger6667
License
The code in this project is licensed under MIT license. By contributing to Schemathesis, you agree that your contributions will be licensed under its MIT license.
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