Company research card
Data as of April 29, 2026
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Open-source platform for the ML lifecycle including experiment tracking and model registry
AI InfrastructureFounded 2018#12 of 54 in AI Infrastructure
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Company profile
MLflow is the industry-standard open-source platform for managing the machine learning lifecycle, including experiment tracking, reproducible runs, model packaging, and a model registry. Originally created at Databricks, it is one of the most downloaded ML packages on PyPI.
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Strongest data point
150.9M/30d
Tracked packages attributed to this company: npm mlflow; PyPI mlflow
Package names are grouped by registry; npm and PyPI rows do not need matching pairs.
Other data points
1.2K
Projects depending on tracked packages attributed to this company: npm mlflow; PyPI mlflow
25.6K
Main repository stars
6/30d
Ranked #29 in category discussion
Maintenance data from the main open-source repository.
Public repositories and source files importing packages tied to MLflow.
MLflow is the industry-standard open-source platform for managing the machine learning lifecycle, including experiment tracking, reproducible runs, model packaging, and a model registry. Originally created at Databricks, it is one of the most downloaded ML packages on PyPI.
1 npm, 1 PyPI
mlflow
mlflow