Chaos Toolkit
7.4#1 in chaos engineering platformsFree planFree planWebAPILinuxmacOS
VisitChaos Toolkit vs Steadybit
What both publish
| Fact | Chaos Toolkit | Steadybit |
|---|---|---|
| Discovery | The chaos discover command can inspect an integration and produce a discovery report used to bootstrap experiments. | The platform discovers targets and metadata to help teams visualize and group system components. |
| Experiments | An experiment declares a steady-state hypothesis and probes to validate it, plus a method made up of actions and probes. | Teams can design and run experiments with a no-code editor, templates, and a real-time run view. |
| Integrations | The extension directory lists integrations including AWS, Azure, Google Cloud Platform, Kubernetes, Kafka, Slack, Datadog, Grafana, OpenTelemetry and Prometheus. | Its open source integrations include Kubernetes, AWS, Azure, GCP, Datadog, Grafana, Prometheus, Kafka, and RabbitMQ. |
| Purpose | Chaos Toolkit is a chaos engineering toolkit for developers to explore and test systems to discover weaknesses. | Steadybit is a chaos engineering platform for proactive reliability assessment and testing. |
Chaos Toolkit plans
- Chaos ToolkitFree
Steadybit plans
- EnterprisePriced on request
- ProfessionalPriced on request
Pick Chaos Toolkit if…
Chaos Toolkit suits developers who want to define and run system experiments in code or CI/CD workflows. Its Python CLI and installable extensions are relevant for teams working with supported systems and integrations.
Pick Steadybit if…
Steadybit suits reliability and platform engineering teams that want to run controlled experiments across system layers. Its on-premises and air-gapped options may also fit teams with those deployment requirements.