metaxy - Metaxy Metadata Management for Data and ML Features
Manages feature versions, dependencies, and data lineage in multimodal data and ML pipelines.
Tags
Updated: 2026-02-23Capabilities
Typical Inputs
Typical Outputs
What this skill does
- define feature definitions
- create BaseFeature classes
- track feature versions
- set up metadata stores
- configure field-level lineage
- run metaxy CLI commands
- manage feature dependency graphs
- test features in isolation
- visualize dependency graphs
- push graphs to metadata stores
Inputs
- feature definitions
- metadata store configuration
- CLI commands
- test fixtures
- feature dependencies
- field specifications
- metaxy.toml file
- sample versions
Outputs
- feature classes
- metadata stores
- dependency graphs
- CLI outputs
- test results
- visualized graphs
- pushed metadata
- version tracking data
Requirements
- Python environment
- Metaxy library installation
- metadata store backend (DuckDB, ClickHouse, BigQuery, LanceDB, Delta Lake)
- metaxy.toml configuration file
- CLI access
- feature graph context