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Head-to-head · Chaos Engineering Platforms

Reliably vs LitmusChaos

  • Updated Nov 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Reliably #6 in Chaos Engineering Platforms 8.7/10 Free plan Free plan✓ 5 of 5 features Visit Reliably
LitmusChaos #7 in Chaos Engineering Platforms 8.6/10 Open source ✓ 5 of 5 features Visit LitmusChaos

Reliably leads on 0 checks, LitmusChaos on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreReliably · 8.7/10
  • Free planonly Reliably

Reliably scores higher on our rubric for chaos engineering platforms: 8.7 against 8.6 out of 10; our editors rank them #6 and #7.

Reliably is the better fit for teams wanting a guided chaos management layer. LitmusChaos is the better fit for open-source Kubernetes and cloud platforms.

  • Reliably fits best

    Teams wanting a guided chaos management layer

  • LitmusChaos fits best

    Open-source Kubernetes and cloud platforms

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Side by side

Feature Reliably 8.7/10 Visit ↗ LitmusChaos 8.6/10 Visit ↗
At a glance
Editor score 8.7 8.6
Ranking #6 in Chaos Engineering Platforms #7 in Chaos Engineering Platforms
Best for Teams wanting a guided chaos management layer Open-source Kubernetes and cloud platforms
Pricing model Free plan + paid Free
Starting price £40/mo Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web, Windows, Linux Web
Support Email, Docs Community, Docs
Integrations 3 integrations 2 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Reliably 5/5 · LitmusChaos 5/5
Kubernetes support ✓ ✓
Cloud fault injection ✓ ✓
Network fault injection ✓ ✓
Experiment scheduling ✓ ✓
Blast-radius controls ✓ ✓
Specs
Deployment model Hybrid Hybrid
Our review
Pros
  • 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
  • Supports Kubernetes plus AWS, GCP, and Azure experiments
  • Composes, schedules, and repeats multi-step chaos workflows
  • Uses probes, Prometheus metrics, and scope controls for validation
Cons
  • Free plan is limited to one team member
  • Free plan includes only five custom experiments
  • Start limits cloud execution to 300 minutes per month
  • The listed integration set is limited to Prometheus and Kubernetes
  • Its broad feature set may exceed the needs of narrowly focused teams
  • Teams must choose between hosted SaaS and self-hosted deployment
Our verdict

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 →

LitmusChaos is an open-source chaos engineering platform for cloud-native infrastructure and applications. It is designed for developers, QA teams, and site reliability engineers who need to design, orchestrate, schedule, and analyze…

Read the review →
  1. ReliablyChaos Engineering Platforms 8.7Free plan
  2. LitmusChaosChaos Engineering Platforms 8.6Open source

Strengths and trade-offs

  • 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
  • LitmusChaos — where it wins

    • Supports Kubernetes plus AWS, GCP, and Azure experiments
    • Composes, schedules, and repeats multi-step chaos workflows
    • Uses probes, Prometheus metrics, and scope controls for validation

    Where it doesn't

    • The listed integration set is limited to Prometheus and Kubernetes
    • Its broad feature set may exceed the needs of narrowly focused teams
    • Teams must choose between hosted SaaS and self-hosted deployment

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

Last updated · How we research and update