MLflow is an open-source platform for managing the complete machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow supports both traditional ML and generative AI workflows:
- MLflow Tracking: Record and query experiments, including code, data, config, and results. Now with integrated tracing for GenAI workflows across multiple frameworks.
- MLflow Models: Deploy machine learning models in diverse serving environments, with GenAI support for ChatModels and streaming interfaces.
- Model Registry: Store, annotate, discover, and manage models in a central repository.
- MLflow Evaluation: Evaluate model performance using customizable metrics, including LLM-as-judge frameworks and GenAI-specific benchmarks.
- MLflow Deployments: Simplify model deployment and serving across various platforms, with expanded capabilities for hosting large language models.
Subscribe to our luma calendar for updates about meetups, office hours, and other events: https://lu.ma/mlflow
View code on GitHub here: https://github.com/mlflow/mlflow/
To discuss or get help, please join our mailing list mlflow-users@googlegroups.com
Company Details
- Employees
- 31
- Founded
- -
- Address
- San Francisco, Ca, Us
- Industry
- Software Development
- NAICS
-
Software Publishers
- Website
- https://mlflow.org/
- Keywords
- Kubeflow.
- HQ
- San Francisco, CA
Mlflow Questions
Mlflow's website is https://mlflow.org/
Mlflow's LinkedIn profile is https://www.linkedin.com/company/mlflow-org
Mlflow has
31 employees.
View email and phone details for 31
employees at Mlflow.
Mlflow's industry is
Software Development
Mlflow's top competitors are
Hugging Face,
Streamlit,
Ollama,
Crewai,
Unity Catalog,
Databricks,
Delta Lake,
Llamaindex,
Kubeflow,
Langchain.
Mlflow's categories are Software Development
Mlflow's founding year is 2018
