Locust vs ReadyAPI
Locust
locust.ioReadyAPI
smartbear.comSide by side
| Figure | Locust | ReadyAPI |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 13 |
| Spec score · Software Testing Tools | 7.9 (#15) | 8.7 (#4) |
| Integrations | Optional OpenTelemetry support exports traces, metrics, and logs to compatible backends, including OTLP, Prometheus, Jaeger, and Tempo. | Listed integrations include Git, GitHub, GitLab, Bitbucket, Jira, Selenium, Jenkins, Azure DevOps, AWS Gateway, SwaggerHub, MuleSoft, Zephyr and Postman. |
Plans
ReadyAPI
- ReadyAPI Test - 1-Year LicensePrice not published
- ReadyAPI Test - 2-Year LicensePrice not published
- ReadyAPI Test - 3-Year LicensePrice not published
- ReadyAPI Performance - SmallPrice not published
- ReadyAPI Performance - MediumPrice not published
- ReadyAPI Performance - UnlimitedPrice not published
- ReadyAPI Virtualization - 1-Year LicensePrice not published
- API & Service Virtualization$1,415 a year
- API Functional & Security Testing$3,207 a year
- API Performance Testing Small$7,389 a year
In their own words
Locust
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.