weaverbird

A visual data pipeline builder with various backends

PyPI

Version: 0.62.0

Maintainers: 1

weaverbird python package

See docs about purpose and usage.

Development

We use uv for managing dependencies.

Main commands are available through make:

make install # Install dependencies & set up pre-commit

make format # Fix formatting issues using black and ruff
make lint # Execute various checks

make build # Build the project prior to publication
make upload # Publish on pypi

make test # Execute the test suite and produce reports
/!\ To run Snowflake's e2e tests, the password needs to be exported to env variables
as such: export SNOWFLAKE_PASSWORD='XXXXXXXXXXX'. This password is available in lastpass (user: toucan_test)

Keywords

FAQs

What is weaverbird?

Is weaverbird well maintained?

Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install