DuckDB.org | User Guide (Python) - API Docs (Python)

DuckDB: A Fast, In-Process, Portable, Open Source, Analytical Database System

• Simple: DuckDB is easy to install and deploy. It has zero external dependencies and runs in-process in its host application or as a single binary.
• Portable: DuckDB runs on Linux, macOS, Windows, Android, iOS and all popular hardware architectures. It has idiomatic client APIs for major programming languages.
• Feature-rich: DuckDB offers a rich SQL dialect. It can read and write file formats such as CSV, Parquet, and JSON, to and from the local file system and remote endpoints such as S3 buckets.
• Fast: DuckDB runs analytical queries at blazing speed thanks to its columnar engine, which supports parallel execution and can process larger-than-memory workloads.
• Extensible: DuckDB is extensible by third-party features such as new data types, functions, file formats and new SQL syntax. User contributions are available as community extensions.
• Free: DuckDB and its core extensions are open-source under the permissive MIT License. The intellectual property of the project is held by the DuckDB Foundation.

Installation

Install the latest release of DuckDB directly from PyPI:

pip install duckdb

Install with all optional dependencies:

pip install 'duckdb[all]'

Contributing

See the CONTRIBUTING.md for instructions on how to set up a development environment.