observabilityOpen Source✦ Free Tier
MLflow
Open-source MLOps platform with LLM experiment tracking and tracing
⭐ 19,800 stars● Health 75 — ActiveDev Productivity & App Infrastructure
About
MLflow is an open-source platform for managing the full ML lifecycle, now extended with native LLM tracking and tracing. It captures prompts, responses, latency, and costs in MLflow Tracing, integrates with LangChain and OpenAI, and provides a unified experiment UI.
Choose MLflow when…
- •already using MLflow for ML experiments and want LLM tracking too
- •running on Databricks and want native platform observability
- •need unified tracking for both traditional ML and LLM workloads
Builder Slot
How do you see what's happening?Recommended for most stacks
Traces every LLM call, eval, and cost so you know exactly what your stack is doing
Dev Tools
Not applicable
App Infra
Recommended
Hybrid
Recommended
Other tools in this slot:
Stack Genome Detection
AIchitect's Genome scanner detects MLflow in your project via these signals:
pip packages
mlflowenv vars
MLFLOW_TRACKING_URIconfig files
MLprojectmlflow.yamlAlternatives to consider (1)
Pricing
✦ Free tier available
Open SourceFree
Databricks ManagedIncluded with Databricks
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