{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Provides a MLServer runtime that loads and serves MLflow models, enabling MLflow-serialized models to run as inference endpoints with support for dictionary-based tensor inputs.","skillfed_tags":["model-serving","mlflow-integration"],"use_cases":["Serve MLflow-registered models as production REST endpoints without writing custom inference code.","Integrate MLflow model artifacts into a MLServer-based inference platform for multi-model serving.","Deploy dictionary-of-tensors models from MLflow that require the dict content type for correct deserialization."],"what_it_does":"mlserver-mlflow is a specialized runtime adapter that bridges MLflow and MLServer, allowing MLflow-serialized models to be served as REST/gRPC inference endpoints. It extends MLServer's runtime system with MLflow-specific model loading and inference logic, and introduces a dict content type for handling MLflow's native dictionary-of-tensors input format.\n\nThe package is narrow in scope: it does not train models or manage MLflow tracking\u2014it only handles model serving. It is most useful in deployment pipelines where MLflow is the model registry and MLServer is the inference platform. The aging maintenance status (434 days since last release) suggests the package is stable but not actively developed; it will work for its intended use but may lag behind new MLflow or MLServer features.","worth_installing":"Yes, if you are already using MLServer and need to serve MLflow models. The low install friction and permissive license make it a straightforward addition. However, the aging maintenance status (434 days since release) means you should verify that the package's feature set matches your MLflow and MLServer versions before committing to production use."},"id":"mlserver-mlflow","links":{"html":"https://skillfed.io/packages/mlserver-mlflow","md":"https://skillfed.io/packages/mlserver-mlflow.md","pypi":"https://pypi.org/project/mlserver-mlflow/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-06-06","license_spdx":null,"license_treatment":"permissive","name":"mlserver-mlflow","python_support":"capped_below_current","summary":"MLflow runtime for MLServer"},"popularity":{"monthly_downloads":80309,"position":14299,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.1"}