TL;DR - MLflow
- ML experiment tracking and versioning
- Log metrics, parameters, and artifacts
- Compare runs to find the best model
Pricing: Free forever
Best for: Individuals & startups
Score: 86/100
Pricing
Free
View pricing MLflow is completely free to use.
About MLflow
MLflow manages the machine learning lifecycle. Experiment tracking, model registry, and deployment—MLOps platform that's open source and widely adopted.
The experiment tracking is solid. The model registry helps management. The deployment options are flexible.
ML teams use MLflow because it's the open-source MLOps standard.
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MLflow FAQ
Yes, MLflow is free and open source. Managed options available from Databricks and others. Apache 2.0 license.
MLflow is an open-source ML lifecycle platform. Track experiments, package models, deploy anywhere. Created by Databricks.
MLflow is open source and self-hosted. W&B is cloud-first with better visualization. MLflow for control; W&B for collaboration.
Log parameters, metrics, and artifacts from ML runs. Compare experiments to find best models. Essential for reproducible ML.