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DuckDB in-process database

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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.

Project details


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Publisher: release.yml on duckdb/duckdb-python

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Provenance

The following attestation bundles were made for duckdb-1.4.5-cp39-cp39-macosx_10_9_universal2.whl:

Publisher: release.yml on duckdb/duckdb-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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