Locust vs Postman

Locust is an open-source performance and load testing tool for HTTP and other protocols. Test scenarios are written in Python, with regular Python libraries available for use within them. Tests can run from the command line or web interface, which displays throughput, response times, and errors in real time; results can be exported for later analysis. The interface shows progress and lets users change load during a run. Locust can distribute tests across multiple machines and says it can support hundreds of thousands of concurrent users. Other systems and protocols can be tested by adding a client, and documentation lists community extensions for protocols and reporting. Optional OpenTelemetry support exports traces, metrics, and logs to compatible backends such as OTLP, Prometheus, Jaeger, and Tempo. Automatic instrumentation currently covers the requests library. Installation is documented with pip install locust or uvx. Locust is free and MIT-licensed. Its documentation also describes hosted load testing through Azure Load Testing, with reporting, Application Insights integration, and CI/CD support for Azure DevOps and GitHub Actions.

Postman is a platform for building, exercising, sharing, documenting, and monitoring APIs. Its API client handles multiple protocols and includes authentication, response inspection and visualization, variables, environments, and request history. For API design, it supports specifications, mock servers, importing definitions, multiple definition formats, and third-party integrations. Testing options include collection runs and automated, integration, performance, regression, and end-to-end testing, with Postman CLI also available. Listed integrations include Jira, Slack, GitHub, GitLab, Microsoft Teams, VS Code, Amazon API Gateway, AWS Secrets Manager, and 1Password Vault. Postman describes local secret protection, cloud detection, runtime resolution, and connections to secret-management services. Its stated compliance credentials include SOC 2 Type II, PCI DSS, HIPAA, GDPR, and others. It says customer data is not used to train its models and Enterprise teams control AI access and usage. The Free plan includes 50 AI credits. Solo is $9 a month, billed annually. Basic and Professional plans are closed to new customers; existing Professional customers retain their current plan and pricing.