Open source ai-observability projects
Every project in the registry tagged ai-observability, ranked by real GitHub adoption.
Open-source LLM tracing & evaluation for AI optimization
Full observability for AI agents in production
Powerful observability made simple for developers
AI-powered platform for engineering LLM products
Monitor, debug, and scale LLM applications with ease
Related tags
Frequently asked questions
How many open source ai-observability projects are there?
This registry tracks 5 projects tagged ai-observability, with 26,681 GitHub stars between them. The most-adopted is Arize Phoenix at 11,518 stars.
Are these ai-observability projects free to use?
Yes — 4 of the 5 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which ai-observability project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these ai-observability projects still maintained?
5 of the 5 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.