Keploy is a developer-centric, open-source testing platform that automates the creation of unit, integration, and API tests. It does this by recording live application traffic with eBPF, without requiring any code changes. Keploy captures incoming and outgoing network interactions, such as database queries and external API calls, and then converts them into reusable test cases and mocks. By integrating seamlessly into CI/CD pipelines and testing frameworks, Keploy enables teams to reach up to 90% test coverage in minutes, which helps to accelerate releases and improve reliability.

• Record & replay test generation: Captures application network traffic via eBPF and converts it into test cases and mocks without code modifications.
• Code-less instrumentation: It uses eBPF for the lightweight and language-agnostic capture of API and database interactions
• Combined test coverage: Merges recorded tests with existing test frameworks like Go-test, JUnit, PyTest, and Jest to produce unified coverage reports.
• Complex API flow support: Records and replays intricate, distributed API flows, effectively acting like a "time machine" for testing.
• Accurate noise detection: Automatically filters out dynamic or flaky fields (e.g., timestamps, random values) to reduce test failures.
• Comprehensive mocking: Generates reusable mocks and stubs for databases, external APIs, and other dependencies, eliminating dependence on real services.
• Built-in CI/CD integration: Works seamlessly with GitHub Actions, GitLab runners, Bitbucket, local CLI, or Kubernetes environments.
• AI-powered unit test generator: Automatically generates high-quality unit tests using AI, aiding edge-case coverage and reducing flakiness.
• Enterprise dashboard & deduplication: Provides metrics across teams, deduplicates test cases, and offers PR alerts and coverage insights (premium feature).

• Achieve test coverage quickly: Save development time by generating robust tests in minutes.
• No need for test infrastructure: Automatically mocks dependencies without requiring separate test environments.
• Language-agnostic and CI-friendly: Works across multiple tech stacks and integrates easily into existing CI pipelines.
• Improved test reliability: Reduces flakiness using noise detection and generates stable, repeatable test suites.
• AI boosts quality and efficiency: Automates unit test creation, improving edge-case detection and code confidence.

• Learning curve around eBPF and tooling: Developers unfamiliar with eBPF or proxy instrumentation may need time to adapt.
• Experimental features: Features like test deduplication and high-traffic dedup settings may still be maturing.

• API and backend developers: Automatically capture and replay API interactions for robust integration tests without manual mocks.
• QA and DevOps teams: Simplify CI pipelines, reduce environment setup, and inject stable mocks directly in tests.
• Startups and agile teams: Accelerate test automation and maintain high code quality while moving fast.
• Enterprises and microservices environments: Scale testing across service boundaries with unified dashboards and metrics.
• Legacy system maintainers: Record traffic from stable environments and generate tests without changing legacy code.