DuckDB in-process database

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  • License: MIT License
  • Author: DuckDB Foundation
  • Maintainer: DuckDB Foundation
  • Tags DuckDB , Database , SQL , OLAP
  • Requires: Python >=3.10.0
  • Provides-Extra: all
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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.

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  • License: MIT License
  • Author: DuckDB Foundation
  • Maintainer: DuckDB Foundation
  • Tags DuckDB , Database , SQL , OLAP
  • Requires: Python >=3.10.0
  • Provides-Extra: all
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1.6.0.dev12 pre-release

1.6.0.dev11 pre-release

This version

1.5.3.dev7 pre-release

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