diffolars 0.2.0

Yet another data diff

diffolars

A small Polars-based toolkit for comparing two versions of a dataframe and generating randomized test data to exercise that comparison.

Ideally used to compare dataloads in the day-to-day of a database analyst.

Installation

uv add diffolars

Generating test data

diffolars.demo generates a random dataframe and a mutated copy of it, useful for testing diff logic without hand-crafting fixtures.

from diffolars.demo import get_df_pair

pair = get_df_pair(
    n_rows=100,
    n_cols=10,
    n_new_rows=5,    # rows added in the mutated copy
    n_new_cols=2,    # columns added in the mutated copy
    coverage=0.1,    # fraction of existing cells randomly changed
    seed=42,
)

original = pair["original"]
mutated = pair["mutated"]

Every generated row gets a record_id UUID column, used to match rows between the original and mutated dataframes. get_random_data and get_mutated_data are also available individually if you want to generate or mutate a dataframe on its own.

Diffing

diffolars.diff will define the comparison API (row/column intersection and symmetric difference, schema comparison) and is under active development...

Currently only the Windows build is available.

License

MIT — see LICENSE.