Aurora vs Nightingale
Aurora and Nightingale are both incident management software. Aurora is open source under Apache-2.0, with 451 GitHub stars. Nightingale is open source under Apache-2.0, with 13k GitHub stars.
Which to pick
- Pick Aurora when
- An SRE team wants to trial self-hosted AI root-cause analysis across clouds.
- Pick Nightingale when
- Ops teams want a central alerting console over existing metric and log stores, popular in China as an Alertmanager alternative.
Side by side
An AI incident investigation tool where LangGraph agents query AWS, Azure, GCP, Kubernetes and monitoring tools to suggest root causes, integrated with PagerDuty, Datadog and Slack.
A self-hosted alerting and monitoring platform that evaluates rules over Prometheus-compatible metrics, logs and databases and routes notifications, with an AI agent.
Created in 2026, and agents need broad read access to your cloud accounts.
Much of the community and documentation is Chinese.
Experimental
Production-ready
Self-hosted server (both)
Python, TypeScript and LangGraph
Go, PostgreSQL, Redis and SQLite
Open source, Apache-2.0 (permissive) (both)
You can build it into a product you sell, as long as you keep its copyright notice. (both)
451 GitHub stars
13k GitHub stars
Young: started 9 months ago, latest release v1.5.14.
Established: started 6 years ago, latest release v9.3.0.
Other comparisons
More incident management and on-call tools
Both sides were judged on 2026-11-03 from each project's README and GitHub data. License, age and popularity lines are worked out directly.