Netflix/metaflow-service
:rocket: Metadata tracking and UI service for Metaflow!
This project helps data scientists, machine learning engineers, and researchers using Metaflow keep track of their machine learning experiments. It takes information about your Metaflow runs, steps, tasks, and data artifacts, and provides a central way to query and understand the history and lineage of your machine learning models and data. It acts as a robust backend for managing experiment metadata.
227 stars.
Use this if you are running many Metaflow workflows and need a centralized, persistent way to store and query the metadata from your experiments, allowing you to easily debug, reproduce, and audit your machine learning pipelines.
Not ideal if you are not using Metaflow or only run very infrequent, simple workflows where manual tracking is sufficient.
Stars
227
Forks
107
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/mlops/Netflix/metaflow-service"
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