ZenML vs Experiment Trackers
More Than an Experiment Tracker
ZenML vs MLflow, Weights & Biases, Neptune AI and moreUnderstand how ZenML stands apart from traditional experiment trackers
Pipelines as experiments
- ZenML is built on top of the idea of steps and pipelines, which play together nicely with experiment tracking tools.
- Experiment tracking tools like MLflow are good to track your training runs and hyperparameters while pipelines automate runs.
- ZenML is a management layer on top of your ML experiments, and manages their lifecycle within the context of a pipeline.
Connect your experiment trackers with your infrastructure securely
- ZenML connectors can be used to establish a secure connection to your production infrastructure with your experiment tracker.
- Keeps the complexity of authentication and authorization away from your code.
- ZenML estabilishes a link between your experiment trackers and your entire MLOps process.
Provide lineage and provenance for your experiments
- Experiment trackers focus mostly on training - while MLOps stretches beyond that.
- ZenML provides an overview of the entire process from feature engineering, to training, to deployment, inference and beyond.
- ZenML can be paired nicely with experiment trackers to provide full reproducibility and audability over multiple tracking tools.
Experiment Tracker Showdown
Explore the Advantages of ZenML Over Leading Experiment Trackers
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