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4. MLflow

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2. Data Science
3. Experiment Tracking and Data Lineage
4. MLflow

MLflow

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: MLflow Tracking, MLflow Projects, MLflow Models, and MLflow Registry.

Logo
Website	https://mlflow.org/
Repository	https://github.com/mlflow/mlflow/
Byline	An open source platform for the machine learning lifecycle
License	Apache 2.0
Project age	4 years 6 months
Backers	DataBricks (Commercial Product By)
Lastest News (2021-10-25)	We are happy to announce the availability of MLflow 1.21.0. MLflow 1.21.0 includes several major features and improvements. more
Size score (1 to 10, higher is better)	9.25
Trend score (1 to 10, higher is better)	8.5

Education Resources

URL	Resource Type	Description
https://mlflow.org/docs/latest/index.html	Documentation	Official project documentation.

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	61,607	10,333
Lines committed	97,793,057	58,883,012
Unique committers	532	211
Core committers	6	2

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