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Black Duck Coverity vs Schemathesis

Black Duck Coverity

blackduck.com

Schemathesis

schemathesis.io

Side by side

FigureBlack Duck CoveritySchemathesis
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
Self-hostedYesYes
Plans published11
Spec score · Fuzz Testing Software7.8 (#11)7.5 (#16)
PurposeCoverity is an enterprise-grade static analysis solution that finds and fixes security vulnerabilities and code quality defects before software ships.Schemathesis generates property-based tests from OpenAPI and GraphQL schemas to find API bugs.

Plans

Black Duck Coverity

  • Coverity Static AnalysisPriced on request

Black Duck Coverity pricing →

Schemathesis

  • SchemathesisFree

Schemathesis pricing →

In their own words

Black Duck Coverity

Black Duck Coverity is a paid static analysis solution for finding security vulnerabilities and code quality defects in source code before software ships. It analyzes code without executing it, scanning across files and libraries in entire codebases. Black Duck lists support for 22 programming languages and more than 250 frameworks, along with standards including MISRA, AUTOSAR, ISO 26262, PCI DSS, CERT C/C++/Java, DISA STIG, OWASP Top 10, and CWE Top 25. Coverity is TÜV SÜD certified for IEC 61508-3 support-tool requirements and qualified for use up to ASIL D under ISO 26262 and Level A under DO-178C. The Code Sight IDE plug-in offers real-time results, issue summaries, and code fixes. IDE, SCM, and CI integrations can trigger scans on commits and pull requests; listed connections include GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, and others. Deployment can be fully air-gapped on premises, including Kubernetes clusters. Pricing is customized to team size and codebase and supplied by quote.

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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.

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