Installation

Install Jetxl and confirm it works

pip install jetxl

Or with uv, which is faster and is what the project uses itself:

uv pip install jetxl

Requirements

Python · 3.10 or newer · required

Jetxl publishes wheels for CPython 3.10 and above.

Rust toolchain · not required

Wheels are prebuilt. You only need Rust if you’re building from source.

DataFrame library · optional

Jetxl has no required DataFrame dependency. Install whichever you already use, whether Polars, Pandas or PyArrow, or use the dictionary functions with no extras at all.

Calling .to_arrow() on a Polars or Pandas frame needs pyarrow installed alongside it.

Check the install

import polars as pl
import jetxl as jet

df = pl.DataFrame({"n": [1, 2, 3]})
jet.write_sheet_arrow(df.to_arrow(), "check.xlsx")

If check.xlsx opens in Excel with three rows under a header called n, you’re set.

Pinning

Jetxl is pre-1.0 and describes itself as experimental. Parameter behavior may change between minor versions, so pin an exact version rather than a range:

jetxl==0.3.1

Releases go to PyPI, and the changelog lives with the source.

Which import name?

The package installs as jetxl and is conventionally imported short:

import jetxl as jet

Every example on this site uses jet. Plain import jetxl works identically.