Pygmy-Goose/pygmy-goose

The essence of DuckDB

7

stars

53,539

commits

C++

primary language

Apr 29, 2026

updated

Browse cluster: DuckDB extensions and connectors

README

Pygmy Goose logo

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Pygmy Goose

The Indian Pygmy Goose is the smallest species of Duck on the planet. Yes, it's a Duck although it's called a Goose.

DuckDB is a leading open source project in the realm of columnar databases. It has high quality code and an extensive CI that takes many hours.

For other projects active in the columnar database space, it's appealing to make small libraries out of DuckDB code so it could be reused in our projects.

If you're one of those projects, do get in touch so we can share the maintenance cost.

DuckDB

DuckDB is a high-performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use.

DuckDB is available as a standalone CLI application and has clients for Python, R, Java, Wasm, etc., with deep integrations with packages such as pandas and dplyr.

For more information on using DuckDB, please refer to the DuckDB documentation.

Contributors

(top 30 of 331)

Mytherin

21,116 commits

Tishj

5,198 commits

pdet

4,311 commits

hannes

2,702 commits

Pygmy-Goose/pygmy-goose

The essence of DuckDB

7

stars

53,539

commits

C++

primary language

Apr 29, 2026

updated

Browse cluster: DuckDB extensions and connectors

README

Pygmy Goose logo

Github Actions Badge discord Latest Release

Pygmy Goose

The Indian Pygmy Goose is the smallest species of Duck on the planet. Yes, it's a Duck although it's called a Goose.

DuckDB is a leading open source project in the realm of columnar databases. It has high quality code and an extensive CI that takes many hours.

For other projects active in the columnar database space, it's appealing to make small libraries out of DuckDB code so it could be reused in our projects.

If you're one of those projects, do get in touch so we can share the maintenance cost.

DuckDB

DuckDB is a high-performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use.

DuckDB is available as a standalone CLI application and has clients for Python, R, Java, Wasm, etc., with deep integrations with packages such as pandas and dplyr.

For more information on using DuckDB, please refer to the DuckDB documentation.

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Contributors

(top 30 of 331)

Mytherin

21,116 commits

Tishj

5,198 commits

pdet

4,311 commits

hannes

2,702 commits

Languages

C++

92.3%

Python

4.6%

C

2.2%