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schemathesis

Property-based testing for APIs from OpenAPI and GraphQL schemas.

Build Coverage Version Python versions Discord License

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.

Schemathesis automatically finding a server error
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?

  • ๐Ÿ’ฅ 500 errors that crash your API on edge case inputs
  • ๐Ÿ“‹ Schema violations where your API returns different data than documented
  • ๐Ÿšช Validation bypasses where invalid data gets accepted
  • ๐Ÿ”— Integration failures when responses don't match client expectations
  • ๐Ÿ”„ Stateful bugs where operations work individually but fail in realistic workflows

What can it do?

  • โš™๏ธ Config file - auth, phases, and per-operation overrides in schemathesis.toml. No Python.
  • ๐Ÿ” Authentication - static headers, Basic, per-security-scheme credentials, or custom refresh logic.
  • ๐Ÿ”— Stateful testing - operation links inferred from your schema, no manual wiring.
  • ๐Ÿง  Adaptive testing - learns constraints, ids, and auth from responses, reusing them mid-run.
  • โœ… Custom checks - assert your own business rules next to the built-in ones.
  • ๐Ÿ“– Fuzz dictionaries - mix real ids, wordlists, or LLM-generated payloads into generated data.
  • ๐ŸŒ Rate limiting - cap the request rate, or use auto to follow Retry-After on 429.
  • ๐Ÿ“Š Reports - JUnit, VCR, HAR, NDJSON, JSON, and Allure.
  • ๐ŸŽฏ Schema coverage - keyword-level coverage report showing which constraints your tests exercised.
  • ๐Ÿ” Replay & baseline - re-run past failures and fail CI only on new ones.

โš ๏ธ Upgrading from older versions? Check our Migration Guide for key changes.

Installation & Usage

Command Line:

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

Config file (schemathesis.toml, no Python needed):

headers = { Authorization = "Bearer ${API_TOKEN}" }
generation.max-examples = 500
rate-limit = "auto"

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, and Red Hat.

"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

๐Ÿ”ฌ 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

Documentation

๐Ÿ“š Documentation with guides, examples, and API reference. Start here:

  • Quick Start - 5 minutes
  • CLI Tutorial - 20 minutes
  • Pytest Tutorial - 15 minutes

Get Help

  • ๐Ÿ’ฌ Discord community
  • ๐Ÿ› 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.

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