Lunary vs Opik
A side-by-side comparison of Lunary and Opik, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Lunary | Opik |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms | Web, API | Web, API |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | Lunary | Comet |
| Capabilities (differs) |
|
|
The honest brief
Lunary
Bundles prompt versioning, A/B tests, and human review with tracing — fast zero-to-observability for RAG/chatbots.
- Apache-2.0, self-hostable
- Cost and user analytics built in
- Human-in-the-loop review and scoring
- Quick setup for RAG/chatbot apps
- Evaluation features minimal/early-stage
- Less mature than Langfuse
- Smaller community
- Narrower than full lifecycle platforms
Opik
Fully self-hostable, pairing call tracing with built-in LLM-as-judge evals — own the stack or use Comet cloud.
- Self-host via Docker/Kubernetes
- Tracing plus evals in one tool
- Prompt management and dashboards
- Framework-agnostic integrations
- Younger than some rivals
- Hosted tier tied to Comet
- Self-host needs ops effort
- Smaller ecosystem than LangSmith
When to pick which
Both cover LLM observability, Prompt management, and LLM evaluation.
Pick Opik if you need Guardrails.
- Guardrails (secondary capability)
They share capabilities, but each leads with different ones as a headline job:
Lunary is built around Prompt management.
- Prompt management (primary capability)
Opik is built around LLM evaluation.
- LLM evaluation (primary capability)