Koalr vs Jellyfish
Jellyfish is a solid choice for executive-level reporting. Koalr adds what Jellyfish doesn't: pre-merge deploy risk prediction and conversational AI on your engineering data.
Feature comparison
| Feature | Koalr | Jellyfish |
|---|---|---|
| Deploy risk prediction (pre-merge) | ✅ | ❌ |
| LLM chat on live engineering data | ✅ | ❌ |
| CODEOWNERS sync + enforcement | ✅ | ❌ |
| Coverage-risk correlation | ✅ | ❌ |
| DORA metrics | ✅ | ✅ |
| AI tool adoption tracking (Copilot/Cursor) | ✅ | ❌ |
| Incident correlation | ✅ | ✅ |
| Deployment platform connectors (10+) | ✅ | ⚠️ Limited |
| Free tier | ✅ | ❌ |
| Open API / webhooks out | ✅ | ✅ |
✅ Full support · ⚠️ Partial / limited · ❌ Not available
3 reasons teams switch from Jellyfish to Koalr
Deploy risk is unique to Koalr
Jellyfish has no pre-merge risk prediction. Koalr scores every PR 0–100 across 23 research-validated signals — coverage delta, CODEOWNERS compliance, change entropy, author file-expertise, AI authorship, PR size, timing, and more — before you push the button.
AI chat on your live engineering data
Koalr's AI chat answers questions against your live GitHub, incident, and deployment data in natural language. Jellyfish has no LLM interface — you're limited to their pre-built dashboards.
CODEOWNERS governance and enforcement
Koalr syncs your CODEOWNERS file automatically and blocks PRs missing required reviewers via GitHub Check Runs. This governance layer is Koalr-only — Jellyfish has no code ownership features.
Switching from Jellyfish? We'll help you migrate.
Our team will walk you through setup, data migration, and getting your first risk scores in under an hour. No lengthy onboarding — just results.