Comet OpikFreemium
An open-source platform for LLM evaluation, tracing, and production monitoring, from the team behind the Comet ML experiment-tracking tool.
Analytics comparison
Comet Opik vs Galileo
Pricing, pros, cons, and ideal use cases — side by side.
GalileoEnterprise
An enterprise platform for evaluating, monitoring, and guarding AI agents and LLM applications, including real-time protection against unsafe outputs.
At a glance
| Comet Opik | Galileo | |
|---|---|---|
| Pricing | FreemiumOpen-source and free to self-host. Comet offers managed and enterprise plans. | EnterpriseEnterprise pricing, quoted per organization. |
| Category | Analytics | Analytics |
| Ideal for | Teams needing open-source LLM observabilityEnterprises with data-residency requirementsExisting Comet ML users | Enterprises running agents and LLM apps at scaleRegulated organizations needing runtime safeguardsTeams needing both evaluation and live monitoring |
Pros & cons
Comet Opik
Pros
- Open-source tracing, evals, and monitoring
- Backed by an established ML tooling company
- Self-hostable for data residency
- Built-in and custom evaluation metrics
Cons
- Crowded category with strong alternatives
- Self-hosting adds operational work
- Choice often comes down to ecosystem fit
Galileo
Pros
- Evaluation, monitoring, and runtime guardrails in one platform
- Real-time detection of unsafe or off-policy outputs
- Metrics that work without ground-truth labels
- Built for enterprise scale
Cons
- Enterprise pricing and procurement
- More than small teams or simple apps need
- Onboarding is a real implementation effort
Which should you choose?
Comet Opik is the lighter-weight option (Freemium), while Galileo sits higher on the pricing ladder (Enterprise). Comet Opik is built around teams needing open-source llm observability; Galileo leans more toward enterprises running agents and llm apps at scale. Shortlist the one whose strengths line up with your biggest constraint.