1 مستودع
Awesome GitHub RepositoriesMetadata Backend Configuration
Configuration of the source and endpoint for storing and retrieving pipeline run metadata.
Distinguishing note: None of the candidates cover the high-level configuration of where a system's run metadata is stored (local vs remote).
Explore 1 awesome GitHub repository matching data & databases · Metadata Backend Configuration. Refine with filters or upvote what's useful.
Awesome Metadata Backend Configuration GitHub Repositories
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- netflix/metaflow
Netflix/metaflow
9,764عرض على GitHubMetaflow is a Python machine learning framework and MLOps workflow orchestrator designed to manage the lifecycle of data pipelines from local prototyping to production. It serves as a distributed compute manager and an experiment tracking system, enabling the creation of reproducible pipelines that transition between development and high-availability production environments. The framework distinguishes itself through an integrated checkpointing system that automatically persists intermediate data artifacts to remote storage, allowing failed runs to be resumed from the last successful step. It
Sets the global provider for run metadata to a local filesystem directory or a remote service endpoint.
Pythonagentsaiaws
