Use Cases
Built-in Inference for DataFrames
Applications
Explore real-world workflows you can ship today—powered by xorq’s flexible, engine-agnostic design.
30+ ML integrations
"The Xorq framework greatly simplified our ML pipelines, improving performance 10x and reducing the compute and storage resources required to run them."
Daniel Ashy
Chief Technology Officer, Yendo
Install xorq
Get started with Xorq
Start yourself or request your free build.
Install Xorq
Spin up your first Xorq engine in minutes—locally or in the cloud.
Install with pip
pip install xorq
Or use nix instead
nix run github:xorq-labs/xorq
Request a demo
Not sure where to start? We’ll build your first xorq pipeline—free. Tailored just to your stack, your use case, and your goals.
Start with a template
Start with a pre-built pipeline tailored to real-world ML tasks—modify it, run it, and make it yours in minutes.
browse all templates
30+ ML integrations
More ways to use xorq
As Python packaging tools evolve, uv has emerged as a promising alternative to Poetry, offering faster dependency resolution and simplified environment management. This guide walks through migrating a Python project from Poetry to uv, including handling maturin build backend, pre-commit hooks, and CI/CD configuration.
Deploy an ML pipeline across DuckDB for training and Spark for large-scale scoring—without rewriting a single line.
From dev to prod,
without any rewrites.
Better ML pipelines.
Launched anywhere.
Try xorq today, or request a walkthrough.
