2 repository-uri
Specialized URI schemes and loaders for direct interaction between versioned storage and data science libraries.
Distinct from Third-Party Library Integrations: Existing candidates are too generic (Third Party Library) or unrelated (AI Agents).
Explore 2 awesome GitHub repositories matching data & databases · Data Science Library Integrations. Refine with filters or upvote what's useful.
lakeFS is a data lake versioning system that provides Git-like branching and commits for large datasets stored in object storage. It functions as a version control layer, enabling the creation of immutable snapshots, atomic commits, and zero-copy branching to create isolated environments for data experimentation without duplicating physical files. The system serves as an S3-compatible storage gateway and an Iceberg REST catalog, allowing standard cloud storage protocols and compatible clients to manage versioned tables. It acts as a data quality gatekeeper by using an event-driven hook system
Enables loading and saving dataframes directly to and from libraries like pandas and polars using a specialized URI scheme.
Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di
Connects graph data to external machine learning libraries for advanced predictive analysis.