MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components: 1.) MLflow Tracking - Record and query experiments: code, data, config, and results 2.) MLflow Projects - Package data science code in a format to reproduce runs on any platform 3.) MLflow Models - Deploy machine learning models in diverse serving environments 4.) Model Registry - Store, annotate, discover, and manage models in a central repository View code on GitHub here: https://github.com/mlflow/mlflow/ To discuss or get help, please join our mailing list mlflow-users@googlegroups.com
| Website | https://mlflow.org/ |
| Revenue | $6 million |
| Employees | 2 (2 on RocketReach) |
| Founded | 2018 |
| Industry | Software Development, Custom Software & Technical Consulting, Software |
| Competitors | Amazon, Microsoft, Google, Databricks, DataRobot, H2O.ai, Weights & Biases, Data Science Leaders Podcast, Kubeflow +36 more (view full list) |
| SIC | SIC Code 737 Companies, SIC Code 73 Companies |
| NAICS | NAICS Code 54 Companies, NAICS Code 541 Companies |
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MLflow Questions
The MLflow annual revenue was $6 million in 2026.
2 people are employed at MLflow.
MLflow is based in San Francisco, California.
The NAICS codes for MLflow are [54, 541].
The SIC codes for MLflow are [737, 73].
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