EvoMaster vs Schemathesis
EvoMaster
evomaster.orgSchemathesis
schemathesis.ioSide by side
| Figure | EvoMaster | Schemathesis |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Fuzz Testing Software | 8.2 (#9) | 7.5 (#16) |
| Spec score · API Testing Tools | 8.3 (#15) | 7.6 (#27) |
| Authentication | It supports authentication headers and cookies, including declarative login endpoint configuration to obtain credentials dynamically for each test execution. | It supports Bearer tokens, Basic authentication, and API keys, with environment variable substitution and Python hooks for dynamic flows. |
| Purpose | EvoMaster automatically generates system-level test cases for web and enterprise applications by fuzzing APIs. | Schemathesis generates property-based tests from OpenAPI and GraphQL schemas to find API bugs. |
| Security and privacy | The project states that it has no telemetry and does not require external internet services beyond the application under test, and says it can run in-house without leaking intellectual property to external parties. | The privacy policy says the company uses commercially acceptable means to protect personal data but cannot guarantee absolute security. |
| Test generation | It uses evolutionary algorithms, dynamic program analysis and AI heuristics to evolve test cases and improve measures such as code coverage and fault detection. | It generates cases that probe boundary values, type mismatches, and constraint violations. |
Plans
In their own words
EvoMaster
EvoMaster automatically generates system-level tests for web and enterprise applications by fuzzing APIs. It targets REST, GraphQL, and RPC APIs, including gRPC and Thrift. Black-box testing works across implementation languages; white-box testing is available for APIs compiled to the JVM, such as Java and Kotlin. The tool evolves test cases using evolutionary algorithms, dynamic program analysis, and AI heuristics to improve measures such as code coverage and fault detection. Its project describes more than 30 fault-detection oracles, covering issues such as HTTP status problems, schema mismatches, BOLA, and SQL injection. Generated results can include JUnit 4 or 5 tests in Java or Kotlin, Python or JavaScript test suites, and an interactive HTML report by default. White-box testing supports PostgreSQL, MySQL, H2, and MongoDB communications and can generate database initialization. Authentication headers and cookies are supported, as is dynamic credential retrieval through configured login endpoints. EvoMaster is free, has no telemetry, and says it needs no external internet services beyond the application under test. It can run on Linux, macOS, Windows, or self-hosted; PyPI is the recommended installation route, with a JAR and Docker image also available.
Schemathesis
Schemathesis generates property-based tests from OpenAPI and GraphQL schemas to help engineers find API bugs. Its cases probe boundary values, type mismatches and constraint violations, and it validates API responses against the OpenAPI specification. For multi-step workflows, it chains operations using links inferred from a schema. During a run, it can learn validation rules, resource IDs and authentication requirements from server responses, then reuse them. Users can add Python checks for business rules alongside built-in checks. It supports OpenAPI 2.0, 3.0, 3.1 and 3.2, plus GraphQL schemas. Authentication options include Bearer tokens, Basic authentication and API keys, with environment variable substitution and Python hooks for dynamic flows. Integrations include a GitHub Action, Docker image, pip or uvx installation, and pytest. Reports can be exported as JUnit, VCR, HAR, NDJSON, JSON or Allure; failures can also be saved with curl commands for replay. The tool is self-hosted and licensed under MIT.