LangSmith vs MLflow
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
LangSmith Evaluation | MLflow Evaluation | |
|---|---|---|
| Tagline | LangChain's eval + observability platform. | Open-source platform for tracking, evaluating, and deploying ML models and LLM applications. |
| Category | Evaluation | Evaluation |
| Pricing | Freemium· Free starter; Plus $39/mo per seat | Free· Free and open source (Apache 2.0); managed offering via Databricks |
| Model | Platform (any LLM) | Multi-model |
| Editorial score | 8.7 / 10 | — |
| Use cases | LLM tracingevalsLangChain integration | llm-evaluationexperiment-trackingprompt-managementagent-observabilitymodel-registry |
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| Website | www.langchain.com | mlflow.org |
Pick LangSmith if
- ✅ Tight LangChain integration
- ✅ Strong tracing UX
- ✅ Mature dataset/eval flows
- ✅ Reasonable per-seat pricing
Pick MLflow if
- ✅ Fully open source under Apache 2.0 with no usage caps
- ✅ Covers eval, tracing, prompts, and registry in one tool
- ✅ Massive ecosystem with 100+ integrations including LangChain and OpenAI
- ✅ Multi-language SDKs (Python, TS, Java, R)