mlops
MLflow
Open-source platform for the ML lifecycle — experiment tracking, model registry, packaging, and deployment. Originally built at Databricks.
Capabilities
What it does
experiment trackingmodel registrymodel deploymentdata analysisworkflow automationhyperparameter optimization
Accepts
data:training metricsdata:model artifactscode:training scriptdata:parametersdata:csv
Produces
dashboards:experiment dashboarddata:model registrydata:metricsdocument:run report
EN
Pricing
free
Samples
Alternatives to MLflow
Comet
ML experiment management platform with experiment tracking, model production monitoring, and LLM observability.
Neptune.ai
Metadata store for MLOps focused on experiment tracking and model registry. Built for teams running many production experiments.
Weights & Biases
MLOps platform for experiment tracking, model versioning, hyperparameter sweeps, and collaborative ML development used by top AI labs.
