🚀 Transforming Compute for AI Excellence with Xorq! 🚀
After years of navigating the complexities of production-ready compute, Xorq was born from necessity. We aim to streamline computing beyond notebooks, tackling issues like duplicated efforts and custom workflows.
Why Xorq Stands Out:
- Compute Catalog: Enables reuse, shipping, and observation of transformations and pipelines across various engines.
- Built on Industry Standards:
- Arrow Flight for swift data transport
- Ibis for seamless cross-engine expression
- Portable UDF engine for SQL/Python pipelines
- Key Features:
- Pandas-style transformations
- Multi-engine compatibility (DuckDB, Snowflake)
- Built-in caching and lineage tracking
- Diff-able YAML artifacts for CI/CD
Use Cases:
- Feature stores
- Semantic layers
- MCP + ML integrations
Join us in revolutionizing compute! 💡 Check out our GitHub and experience the power of Xorq.
🔗 Let’s connect and share insights!
