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PACHYDERM
Data versioning and pipelines for reproducible ML workflows
Apache-2.0
ABOUT
Machine learning pipelines lack the data versioning and lineage guarantees that source code has with Git — making it impossible to reproduce historical training runs or trace model performance changes to specific data changes. Pachyderm solves this with data-centric version control and automated pipelines that track every data commit, trigger pipeline stages on data changes, and provide complete lineage from raw data to model output.
INSTALL
brew install pachyderm/tap/pachctlINTEGRATION GUIDE
1. Version control large datasets with Git-like commits for reproducible ML model training
2. Build an automated data pipeline that retrains models automatically when source data changes
3. Create a data lineage audit trail that tracks every transformation from raw data to model prediction
4. Implement a CI/CD pipeline for ML that tests model accuracy against versioned data snapshots
5. Power a team data science platform where multiple teams work on versioned datasets without conflicts
TAGS
data-versioningpipelinemlopsreproducibilitydata-lineagekubernetesdockerenterprise