Install Xorq

Install Xorq, verify the setup works, and add optional backend extras

This guide shows you how to install Xorq and confirm the installation works. It also covers the optional extras that add support for specific backends.

If you want to connect to a database after installing, see Connect to a backend.

Prerequisites

• Python 3.10 or higher. Check with python --version; if you’re below 3.10, grab a newer release from the Python downloads page.
• pip or uv.

Steps

1. Install the package

pip

The base package includes the core library, an embedded DataFusion backend, and Pandas support.

pip install xorq

uv

For a standalone install:

uv pip install xorq

For a project with locked dependencies:

uv init my-xorq-project
cd my-xorq-project
uv add xorq

From source

Install the latest development version from GitHub:

pip install git+https://github.com/xorq-labs/xorq.git

For local development, clone and install in editable mode:

git clone https://github.com/xorq-labs/xorq.git
cd xorq
pip install -e ".[examples]"

nix

nix run github:xorq-labs/xorq

2. Verify the installation

Run a query against the embedded backend. It ships with the base package, so no extra setup is needed.

import xorq.api as xo

con = xo.connect()
iris = xo.examples.iris.fetch(backend=con)

result = (
    iris.filter(xo._.sepal_length > 5)
    .group_by("species")
    .agg(total_width=xo._.sepal_width.sum())
    .execute()
)
print(result)

      species  total_width
0   Virginica        146.2
1  Versicolor        131.8
2      Setosa         81.7

If you see sepal widths aggregated by species, the installation works.

3. Install optional extras

Each extra adds support for one backend or feature set. Install only what you need.

Extra	Command	Adds
examples	pip install "xorq[examples]"	Example datasets plus scikit-learn, XGBoost, and the OpenAI SDK
duckdb	pip install "xorq[duckdb]"	DuckDB backend
postgres	pip install "xorq[postgres]"	PostgreSQL backend
snowflake	pip install "xorq[snowflake]"	Snowflake backend
datafusion	pip install "xorq[datafusion]"	Standalone DataFusion backend (an embedded one is already included)
sqlite	pip install "xorq[sqlite]"	SQLite backend
pyiceberg	pip install "xorq[pyiceberg]"	Apache Iceberg tables
Trino	pip install trino	Trino client (separate package, not an extra)

To install everything at once:

pip install "xorq[examples,duckdb,snowflake,postgres,pyiceberg,datafusion,sqlite]"

Troubleshooting

ModuleNotFoundError: No module named 'xorq': the install landed in a different environment than the one running your code. Compare which python against the environment you installed into, or run pip show xorq to see where it went.

xo.duckdb.connect() (or another backend) raises an import error: the backend extra isn’t installed. Install it from the extras table.

Build errors during pip install: your Python is probably older than 3.10. Check python --version and upgrade if needed.

See also

• Connect to a backend
• Quickstart