Chaos Toolkit
7.4#1 in chaos engineering platformsFree planFree planWebAPILinuxmacOS
VisitChaos Toolkit vs Krkn-AI
What both publish
| Fact | Chaos Toolkit | Krkn-AI |
|---|---|---|
| Installation | The documented installation method is pip install -U chaostoolkit inside a Python environment. | The README provides installation from source or directly from the GitHub repository using uv and Python 3.11 or later. |
| Integrations | The extension directory lists integrations including AWS, Azure, Google Cloud Platform, Kubernetes, Kafka, Slack, Datadog, Grafana, OpenTelemetry and Prometheus. | The documented setup uses Krkn scenarios, krknctl, Kubernetes or OpenShift, and Prometheus metrics. |
| License | The software is released under the Apache-2.0 license. | The public repository is licensed under Apache-2.0. |
| Purpose | Chaos Toolkit is a chaos engineering toolkit for developers to explore and test systems to discover weaknesses. | Krkn-AI automatically runs chaos scenarios and discovers experiments to evaluate system resilience. |
Chaos Toolkit plans
- Chaos ToolkitFree
Krkn-AI plans
- Apache License 2.0Free
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 Krkn-AI if…
Krkn-AI suits teams evaluating the resilience of Kubernetes or OpenShift applications. It requires a cluster kubeconfig and the listed command-line and container tooling.