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Chaos Toolkit vs Steadybit

Chaos Toolkit

chaostoolkit.org

Steadybit

steadybit.com

Side by side

FigureChaos ToolkitSteadybit
Price fromFree—
Free planYes—
Free trial—Yes
Open sourceYes—
WebYesYes
WindowsYesYes
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published12
Spec score · Chaos Engineering Platforms8.8 (#3)7.6 (#13)
DiscoveryThe 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.
ExperimentsAn 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.
IntegrationsThe 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.
PurposeChaos 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.

Plans

Chaos Toolkit

  • Chaos ToolkitFree

Chaos Toolkit pricing →

Steadybit

  • EnterprisePriced on request
  • ProfessionalPriced on request

Steadybit pricing →

In their own words

Chaos Toolkit

Chaos Toolkit is a free, open-source chaos engineering toolkit for developers exploring systems to uncover weaknesses. Experiments define a steady-state hypothesis and probes to check it, along with a method of actions and probes. If the system does not meet the stated steady state, the method is not applied and the experiment must stop. Experiments can be declared in JSON or YAML files, making them suitable for collaboration and orchestration alongside code. The toolkit extends to systems through its Open API and can be embedded in a CI/CD chain. Listed integrations include AWS, Azure, Google Cloud Platform, Kubernetes, Kafka, Slack, Datadog, Grafana, OpenTelemetry, and Prometheus. The standalone CLI is available under Apache License 2.0. It is implemented in Python 3, officially supports Python 3.8 and later, and has only been tested against CPython. Installation instructions cover macOS, Debian or Ubuntu, and Windows; users can install extensions after the CLI and core library. Reliably is a separate platform with SaaS, private SaaS, and on-premises options.

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Steadybit

Steadybit is a chaos engineering platform for teams assessing reliability through planned testing. A no-code editor and templates support experiment design, while a live run view shows progress. Reliability Advice flags risks against best practices and suggests experiments and mitigations. Discovery identifies targets and metadata so teams can visualize and group system components. Tests can inject faults and check health across network, resource, and application layers. The platform supports scheduled experiments and blast-radius controls, with open source integrations for Kubernetes, AWS, Azure, GCP, Datadog, Grafana, Prometheus, Kafka, and RabbitMQ. Teams can also create integrations and custom actions with Extension Kits, ActionKit, and AdviceKit. Steadybit is available as SaaS and supports on-premises deployments, including air-gapped environments. Teams, roles, and fine-grained permissions help govern testing. Pricing is available on request; there is no free plan, but a 30-day free trial is offered. Professional has standard support during 9–5; Enterprise lists on-prem installation, SAML, audit logs, enterprise support, and tailored onboarding.

Visit steadybit.com