schemathesis 4.21.10

Adaptive API testing for OpenAPI and GraphQL

Schemathesis

Catch API bugs before your users do.

Schemathesis tests OpenAPI and GraphQL APIs by generating inputs from your schema, adapting to server responses, and chaining operations into realistic workflows.

Finding bugs that manual testing missed

Try it now

# Test a demo API - finds real bugs in 30 seconds
uvx schemathesis run https://example.schemathesis.io/openapi.json

# Test your own API
uvx schemathesis run https://your-api.com/openapi.json

What problems does it solve?

• 💥 500 errors that crash your API on edge case inputs
• 📋 Schema violations where your API returns different data than documented
• 🚪 Validation bypasses where invalid data gets accepted
• 🔗 Integration failures when responses don't match client expectations
• 🔄 Stateful bugs where operations work individually but fail in realistic workflows

⚠️ Upgrading from older versions? Check our Migration Guide for key changes.

Installation & Usage

Command Line:

uv pip install schemathesis
schemathesis run https://your-api.com/openapi.json

Python Tests:

import schemathesis

schema = schemathesis.openapi.from_url("https://your-api.com/openapi.json")

@schema.parametrize()
def test_api(case):
    # Tests with random data, edge cases, and invalid inputs
    case.call_and_validate()

# Stateful testing: Tests workflows like: create user -> get user -> delete user
APIWorkflow = schema.as_state_machine()
# Creates a test class for pytest/unittest
TestAPI = APIWorkflow.TestCase

CI/CD:

- uses: schemathesis/action@v3
  with:
    schema: "https://your-api.com/openapi.json"

Who uses it

Used by teams at Spotify, WordPress, JetBrains, Red Hat, and dozens of other companies.

"Schemathesis is the best tool for fuzz testing of REST APIs on the market. We at Red Hat use it for examining our applications in functional and integration testing levels." - Dmitry Misharov, RedHat

See it in action

🔬 Live Benchmarks showing continuous testing results from real-world APIs:

• Code & API schema coverage achieved
• Issues found with detailed categorization
• Performance across different fuzzing strategies

Reporting

• Allure — Rich visual reports with per-operation results, failure steps, and curl reproduction commands
• JUnit XML — For GitHub Actions, GitLab CI, Jenkins, and any CI tool that consumes JUnit

Documentation

📚 Documentation with guides, examples, and API reference.

Get Help

• 💬 Discord community
• 🐛 GitHub issues

Contributing

We welcome contributions! See our contributing guidelines and join discussions in issues or Discord.

Acknowledgements

Schemathesis is built on top of Hypothesis, a powerful property-based testing library for Python.

License

This project is licensed under the terms of the MIT license.