Keploy

Free

AI-Powered Automated Testing for Developers

#AI#test automation#developers#unit testing#integration testing#API testing#proxy#network interactions#test scenarios#mock generation#CI/CD integration#eBPF#instrumentation

Type

Saas

Company

Keploy

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About Keploy

Keploy is an AI-powered, open-source platform that transforms real production traffic into automated tests and dependency sandboxes, enabling developers to catch regressions before code is merged. It uses eBPF and network-level interception to record incoming requests and outgoing dependency calls without requiring application code changes, then replays them against new builds to detect response, schema, contract, and performance regressions. Keploy supports API, integration, and regression testing across local, CI/CD, and Kubernetes environments, with features like AI-driven test generation, automatic mocking of databases, queues, caches, and third-party APIs, noise filtering, test deduplication, and schema coverage insights. It offers a free Playground tier, a Pro plan at $19/user/mo, and Enterprise options with advanced governance, security, and support.

Key Features

AI-Driven Test Generation

Automatic Mocking of Dependencies

Combined Test Coverage in CI/CD

Support for Complex API Flows

Multi-Purpose Mocks

Code-less EBPF Instrumentation

Accurate Noise Detection

Test Deduplication

Centralized Reporting Dashboard

GitHub PR Test Agent

Pros & Cons

Pros

Open-source core (Apache 2.0) with a free Playground tier
No code changes required – uses eBPF for network interception
Generates tests and mocks from real production traffic, increasing coverage
Supports a wide range of protocols (HTTP, gRPC, GraphQL, Kafka) and databases
Integrates with CI/CD pipelines and Kubernetes environments
AI-powered self-healing and bug detection capabilities

Cons

Free Playground tier is limited to 100 test runs and 5 AI credits per month
Some advanced features (Kubernetes recording, governance controls, higher usage) require Pro or Enterprise plans
May have a learning curve for setting up eBPF on non-Linux systems (though local recording supports MacOS and Windows via Docker)

Best For

API developers: Simplifying and automating API testing workflows with minimal manual interference.QA engineers: Automation of integration testing to improve efficiency and reliability.Software developers: Reducing the time spent on unit test case creation.DevOps teams: Seamless integration of automated tests in CI/CD pipelines.Microservices architects: Testing complex, distributed microservices using mock and stub generation capabilities.Startups: Rapid testing and deployment to meet fast-paced development cycles.Large enterprises: Maintaining high code quality and test coverage at scale.Cloud service providers: Ensuring reliable integration and performance across different environments.Developers using third-party services: Mocking third-party service interactions like Twilio or Stripe for test consistency.Performance engineers: Generating test cases that include performance considerations for better software validation.

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