Locust vs WebLOAD
Locust
locust.ioWebLOAD
radview.comSide by side
| Figure | Locust | WebLOAD |
|---|---|---|
| Price from | Free | $499/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Performance Testing Software | 7.7 (#23) | 7.7 (#26) |
| Spec score · Load Testing Software | 7.6 (#10) | 7.7 (#9) |
| Integrations | Optional OpenTelemetry support exports traces, metrics, and logs to compatible backends, including OTLP, Prometheus, Jaeger, and Tempo. | The supported integrations page lists Jenkins, Atlassian Bamboo, Git, Selenium, Appium, Dynatrace, AppDynamics, New Relic and Nagios. |
| Purpose | Locust is an open-source performance and load testing tool for HTTP and other protocols. | WebLOAD simulates application traffic to test performance, scalability and reliability and help identify bottlenecks. |
| Support | The project README directs support questions to Stack Overflow and discussion to Discord, while locust.io says Locust.cloud provides dedicated commercial support. | The pricing page says plans include professional SLA support answered by performance engineers and describes engineer support during evaluation. |
Plans
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.