Chaos Genius
ML-powered analytics engine for outlier detection and root cause analysis.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Chaos Genius?
Chaos Genius is an open-source ML platform that helps in detecting outliers and performing root cause analysis, making it easier to understand anomalies in data.
Key differentiator
“Chaos Genius stands out by offering an open-source solution that allows users to deploy and customize their own ML models for outlier detection and root cause analysis.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Advanced features such as custom anomaly detection models are not well-documented
Processing times increase exponentially with dataset size, impacting real-time analysis capabilities
Fit analysis
Who is it for?
✓ Best for
Data teams looking for a self-hosted solution for anomaly detection and root cause analysis
Organizations that require customizable ML models for outlier detection in their data pipelines
✕ Not a fit for
Teams needing real-time anomaly detection (Chaos Genius is more suited for batch processing)
Projects with very limited computational resources, as it requires a self-hosted environment
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with Chaos Genius
Step-by-step setup guide with code examples and common gotchas.