EvoMaster vs Schemathesis
EvoMaster
github.comSchemathesis
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 | 8.3 (#8) | 7.5 (#16) |
| Spec score · API Testing Tools | 8.4 (#12) | 7.6 (#27) |
| Authentication | It supports authentication headers and cookies, including dynamically obtaining tokens or cookies from a login endpoint. | It supports Bearer tokens, Basic authentication, and API keys, with environment variable substitution and Python hooks for dynamic flows. |
| Integrations | It can run in GitHub Actions through a custom action and is distributed as a Docker image. | The maker lists a GitHub Action, Docker image, pip or uvx installation, and pytest integration. |
| Purpose | EvoMaster automatically generates system-level tests through fuzzing for web and enterprise applications. | Schemathesis generates property-based tests from OpenAPI and GraphQL schemas to find API bugs. |
| Security and privacy | The project says it has no telemetry and does not require internet services beyond the application being tested. | The privacy policy says the company uses commercially acceptable means to protect personal data but cannot guarantee absolute security. |
| Support | The project directs users to GitHub issues and discussions for documentation and usage questions. | The maker directs users to Discord for technical support, configuration questions, bug reports, and integration examples. |
| Test generation | It generates JUnit 4 or 5 tests in Java or Kotlin and test suites in Python or JavaScript. | It generates cases that probe boundary values, type mismatches, and constraint violations. |
Plans
In their own words
EvoMaster
EvoMaster is a free, open-source tool that uses fuzzing to generate system-level tests for web and enterprise applications. It targets REST, GraphQL, and RPC APIs, including gRPC and Thrift. Black-box mode works with APIs in any programming language, while white-box mode analyzes JVM bytecode. Generated tests can be JUnit 4 or 5 in Java or Kotlin, or suites in Python or JavaScript. More than 30 oracles check issues including HTTP 500 responses, schema mismatches, BOLA, and SQL injection. White-box testing can analyze SQL and MongoDB interactions with PostgreSQL, MySQL, H2, and MongoDB support. Authentication accepts headers and cookies, including tokens or cookies obtained from a login endpoint. REST testing requires OpenAPI 2.0, 3.0, or 3.1. PyPI is the recommended installation route, with Docker and an uber-fat JAR also available. EvoMaster runs on Linux, macOS, Windows, and self-hosted environments, and integrates with GitHub Actions through a custom action.
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.