affected vs EvoMaster

affected is a free, MIT-licensed command-line tool for identifying monorepo packages touched by Git changes and running tests or other commands on those packages. It traces transitive dependencies and can explain the chain from a change to an affected package. The README says it detects project type and dependency graph automatically to get started without configuration. Supported ecosystems include Cargo, npm, pnpm, Yarn, Bun, Go, Python, Maven, Gradle, .NET, Swift, Dart/Flutter, Elixir, and Scala/sbt. CLI commands cover listing packages, testing, running commands, viewing graphs, CI, initialization, and watch mode. Execution options include parallel jobs, dry-run previews, timeouts, package filters, and skip patterns. Outputs include JSON, JUnit XML, CI formats, shell completions, dependency trees, and DOT graphs. GitHub Actions support includes a setup action and dynamic job matrices; a companion action can post and update pull request comments with affected packages and reasons. Installation options include Homebrew, Python and language package managers, GitHub Actions, and release binaries. It runs on Linux, macOS, and Windows.

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.