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Installation

wend needs Python 3.14 or later. Its expressions are built from template strings (t-strings), which PEP 750 added in Python 3.14.

pip install wend

With uv, add it to a project:

uv add wend

The core package has no dependencies.

Extras

Each optional integration is an extra, which installs the library it needs.

extra installs enables
pydantic Pydantic wend.pydantic.PathOf: path fields on Pydantic models, validated against an expression
fsspec fsspec wend.fs.FsspecFS and wend.fs.url_to_fs: glob and infer on object stores and other fsspec filesystems
polars Polars wend.frame.resolve_frame: render one expression for every row of a DataFrame 
pip install "wend[polars]"
uv add "wend[pydantic,fsspec]"

The fsspec extra installs fsspec alone. A store's own backend, such as s3fs for S3 or gcsfs for Google Cloud Storage, is installed separately.

Checking the installation

>>> from wend import Param, T
>>> name = Param("name")
>>> T(t"data/{name}.csv").render(name="trips")
'data/trips.csv'

On an earlier Python, t"..." is a syntax error.

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