This release is a pre-release and may not be stable for production use.
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.
3 maintainers
Metadata
3 maintainers
Release files for duckdb 2.0.0.dev2610151406
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
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Built distributions (wheels)
Total release size: 617.6 MB
Release files / duckdb-2.0.0.dev2610151406.tar.gz
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