Goose in-process database
Project description
Goose.org | User Guide (Python) - API Docs (Python)
Goose: A Fast, In-Process, Portable, Open Source, Analytical Database System
- Simple: Goose 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: Goose runs on Linux, macOS, Windows, Android, iOS and all popular hardware architectures. It has idiomatic client APIs for major programming languages.
- Feature-rich: Goose 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: Goose runs analytical queries at blazing speed thanks to its columnar engine, which supports parallel execution and can process larger-than-memory workloads.
- Extensible: Goose 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: Goosir is distributed under the Apache License 2.0. Original DuckDB-derived licensing text is preserved in
LICENSE.duckdb.
Installation
Install the latest release of Goose directly from PyPI:
pip install goosir
Install with all optional dependencies:
pip install 'goosir[all]'
Contributing
See the CONTRIBUTING.md for instructions on how to set up a development environment.
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