MLflow Tracing
7.2#11 in ai agent observability toolsFree planFree planWebAPILinuxSelf-hosted
VisitMLflow Tracing vs W&B Weave
What both publish
| Fact | MLflow Tracing | W&B Weave |
|---|---|---|
| Integrations | The integrations directory organizes automatic tracing support across frameworks, coding agents, and model providers. | The deployment guide lists integrations for OpenAI, Anthropic, Cohere, Mistral, LangChain, LlamaIndex, DSPy, Google Gemini, Amazon Bedrock, Together and Groq. |
| Licence | The public MLflow repository identifies its licence as Apache-2.0. | The public Weave repository is released under the Apache-2.0 license. |
| Purpose | MLflow Tracing captures inputs, outputs, and metadata from each step of LLM application and agent requests to help diagnose bugs and unexpected behavior. | W&B Weave provides observability and continuous improvement tools for production AI agents. |
| Rating on G2 | No product rating or review count for MLflow Tracing is stated on the opened G2 MLflow marketplace page. | 4.5 out of 5 from 83 reviews |
| Rating on TrustRadius | 8 out of 10 from 3 reviews | 10 out of 10 from 2 reviews |
MLflow Tracing plans
- MLflow TracingFree
W&B Weave plans
- FreeFree
- Pro$60 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 W&B Weave if…
Weave suits teams developing and monitoring production AI agents that need tracing, evaluations, and model or prompt comparisons. It also fits teams that use Python or TypeScript libraries or send OpenTelemetry traces.