lakeFS: Git-like Version Control for Your Data Lake

Introduction to lakeFS lakeFS is an innovative tool designed to manage data lakes with version control, enabling developers to treat data as code. This project provides a robust framework for system testing, ensuring that changes do not break existing functionality....

NannyML: Post-Deployment ML Model Performance Monitoring

Introduction to NannyML NannyML is an open-source Python library designed to estimate post-deployment model performance without needing access to targets. It enables data scientists to detect data drift and intelligently link alerts back to changes in model...

DVC: Data Version Control for Machine Learning Pipelines

Introduction to DVC and Its Pytest Plugin The DVC (Data Version Control) pytest plugin is an essential tool for developers looking to enhance their data versioning workflows. By integrating robust testing benchmarks, DVC allows for seamless management of data science...