Observability & MonitoringChaos Genius
ML-powered analytics engine for outlier detection and root cause analysis.
- Status
- UnmaintainedGitHub repository has been archived.
- Last checked
- Checked · Oct 6, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
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.
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.
When it fits — and when it doesn’t
A good fit 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
Look elsewhere if
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
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited documentation for advanced use cases
Advanced features such as custom anomaly detection models are not well-documented
- 02
Performance issues with large datasets
Processing times increase exponentially with dataset size, impacting real-time analysis capabilities
What it does well
Outlier detection using machine learning algorithms
Root cause analysis for anomalies in data
Self-hosted deployment options
Extensive documentation and community support
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Chaos Genius
Setup steps, common gotchas and what to check after 30 days.