Polars RefKit

Parse, inspect, render, and format BibTeX columns inside Polars eager and lazy queries. Each source row owns an independent bibliography and citation state.

Documentation · Expression reference · Python objects

Render a citation column

Install in Python 3.11 through 3.14 with Polars 1.29 or newer:

python -m pip install polars-refkit

import polars as pl
import polars_refkit

frame = pl.DataFrame(
    {
        "bibtex": ["@article{doe2024, author={Doe, Jane}, title={Fast Citations}, year={2024}}"],
        "key": ["doe2024"],
    }
)
result = frame.select(
    citation=pl.col("bibtex").refkit.cite("key"),
    entries=pl.col("bibtex").refkit.entry_count(),
)
print(result.to_dicts())

[{'citation': '(Doe, 2024)', 'entries': 1}]

Importing polars_refkit registers pl.Expr.refkit. A string argument names a column. Use pl.lit(...) for literal bibliography text or citation keys.

Choose an operation

Task	Expressions
Parse and inspect	`entry_count`, `keys`, `entries`, `can_parse`, `diagnostics`, `has_diagnostics`, `parse_report`
Render citations	`cite`, `cite_each`, `cite_group`
Render every entry	`full_bibliography`
Inspect render failures	`render_report`
Format and deduplicate	`tidy_bibtex`, `tidy_bibtex_report`

Choose output="text", "html", or "rendered" on rendering expressions. Pass formatting settings as an options= dictionary. Value expressions return null on row-local failures. Reports retain structured diagnostics, errors, or rename records beside the source row.

Use with agents

The package includes version-matched task guidance:

import polars_refkit.agent

help(polars_refkit.agent)

Agent integration covers discovery. Data shapes defines reports and Pyodide records the tested browser runtime.

RefKit is alpha software. Public APIs may change before 1.0.

Apache-2.0 license · Upstream notices

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