Chaos Toolkit vs Reliably

Chaos Toolkit9.3Visit Reliably8.7Visit

Higher score Chaos Toolkit #1 in Chaos Engineering Platforms 9.3/10 Free plan Free plan✓ 5 of 5 features Visit Chaos Toolkit

vs

Reliably #6 in Chaos Engineering Platforms 8.7/10 Free plan Free plan✓ 5 of 5 features Visit Reliably

• Chaos Toolkit fits best

  Broad, low-cost multi-cloud chaos testing

• Reliably fits best

  Teams wanting a guided chaos management layer

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Side by side

Feature	Chaos Toolkit 9.3/10 Visit ↗	Reliably 8.7/10 Visit ↗
At a glance
Editor score	9.3	8.7
Ranking	#1 in Chaos Engineering Platforms	#6 in Chaos Engineering Platforms
Best for	Broad, low-cost multi-cloud chaos testing	Teams wanting a guided chaos management layer
Pricing model	Free	Free plan + paid
Starting price	Free	£40/mo
Free plan	✓	✓
Free trial	—	—
Deployment	Self-hosted, Desktop, Browser extension	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux	Web, Windows, Linux
Support	Docs	Email, Docs
Integrations	12 integrations	3 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Chaos Toolkit 5/5 · Reliably 5/5
Kubernetes support	✓	✓
Cloud fault injection	✓	✓
Network fault injection	✓	✓
Experiment scheduling	✓	✓
Blast-radius controls	✓	✓
Specs
Deployment model	Self_hosted	Hybrid
Our review
Pros	Supports Kubernetes, AWS, Azure, and Google Cloud experiments Includes safeguards, controls, rollbacks, and steady-state hypotheses Offers 300+ actions and probes plus custom extensions	More than 300 actions and probes for experiment design Runs through cloud, GitHub Actions, CLI, Docker, and Kubernetes Free plan includes unlimited custom and GitHub executions
Cons	The standalone interface is a command-line toolkit Scheduling uses Kubernetes CronJobs or external automation Custom extensions require Python, HTTP, or process providers	Free plan is limited to one team member Free plan includes only five custom experiments Start limits cloud execution to 300 minutes per month
Our verdict	Chaos Toolkit is an open-source, Python-based toolkit for developers defining and running chaos engineering experiments. Experiments are written in JSON or YAML and executed through a standalone command-line interface. The toolkit covers… Read the review →	Reliably is a resilience engineering platform for software and operations teams that need to plan, run, schedule, and review Chaos Toolkit experiments. Its experiment builder, reusable templates, JSON import, execution journals, timelines,… Read the review →

Strengths and trade-offs

• Chaos Toolkit — where it wins

  • Supports Kubernetes, AWS, Azure, and Google Cloud experiments
  • Includes safeguards, controls, rollbacks, and steady-state hypotheses
  • Offers 300+ actions and probes plus custom extensions

  Where it doesn't

  • The standalone interface is a command-line toolkit
  • Scheduling uses Kubernetes CronJobs or external automation
  • Custom extensions require Python, HTTP, or process providers

• Reliably — where it wins

  • More than 300 actions and probes for experiment design
  • Runs through cloud, GitHub Actions, CLI, Docker, and Kubernetes
  • Free plan includes unlimited custom and GitHub executions

  Where it doesn't

  • Free plan is limited to one team member
  • Free plan includes only five custom experiments
  • Start limits cloud execution to 300 minutes per month

• Chaos Toolkit9.3/10 · Free plan

  Broad, low-cost multi-cloud chaos testing with declarative experiments and safeguards.

  Visit Chaos ToolkitFull verdict →
• Reliably8.7/10 · Free plan

  A guided chaos management layer with broad execution options and a free entry tier.

  Visit ReliablyFull verdict →