MLflow Tracing
7.2#11 in ai agent observability toolsFree planFree planWebAPILinuxSelf-hosted
VisitMLflow Tracing vs Opik
What both publish
| Fact | MLflow Tracing | Opik |
|---|---|---|
| Documentation | MLflow documentation has separate sections for LLM and agent development, tracing, and evaluation, and for traditional machine-learning workflows. | Documentation includes feature guides, integration pages, self-hosting instructions, SDK references, REST API references, cookbooks and a changelog. |
| Evaluation | MLflow connects trace inspection with evaluation results to help assess application quality. | Opik supports datasets, experiments, assertions and LLM-as-a-judge metrics for issues such as hallucination, relevance and moderation. |
| Integrations | The integrations directory organizes automatic tracing support across frameworks, coding agents, and model providers. | The integration catalog covers TypeScript, Python, Java, .NET and Ruby ecosystems plus no-code tools and OpenTelemetry. |
| Production monitoring | Tracing records latency, token usage, and quality metrics to help monitor deployed LLM applications and agents. | Online evaluation rules can score incoming traces while dashboards track feedback, latency, cost and errors. |
| Purpose | MLflow Tracing captures inputs, outputs, and metadata from each step of LLM application and agent requests to help diagnose bugs and unexpected behavior. | Opik logs agent actions and provides automated evaluation workflows to find and fix errors across development, testing, and production. |
| Rating on G2 | No product rating or review count for MLflow Tracing is stated on the opened G2 MLflow marketplace page. | No rating; 0 reviews listed for Opik |
| Self-hosting | The repository's setup instructions show starting an MLflow server locally and connecting tracing to it. | Self-hosting exposes the full feature set but omits user-management features; local Docker installation is for getting started, while Kubernetes is the production deployment option. |
MLflow Tracing plans
- MLflow TracingFree
Opik plans
- Free CloudFree
- Open SourceFree
- Pro Cloud$19 a month
- EnterprisePriced on request
Pick MLflow Tracing if…
MLflow Tracing suits teams building LLM applications or agents that need visibility into request steps, tool calls, latency or token costs. It supports both automatic integrations and manual instrumentation, with trace data hosted on their infrastructure.
Pick Opik if…
Opik is for teams building LLM applications or agents that need tracing, evaluation, and production monitoring. Its free plans are described as suitable for development and testing.