normalize-tabular-data

A terminal UI (Textual) for interactively normalizing tabular data, backed by polars for speed and gnosis-date-parser for fuzzy date parsing at Rust speed.

Load a file, see a preview, build up a pipeline of normalization operations (normalize messy dates, trim whitespace, rename a column, deduplicate, combine/split columns, drop columns), then save the cleaned result.

Running

Persistent install

uv tool install normalize-tabular-data
# upgrade later with:
uv tool upgrade normalize-tabular-data

Ephemeral run (no install)

uvx fetches into a throwaway environment each time:

uvx normalize-tabular-data
# pin a specific version:
uvx normalize-tabular-data==0.1.0

Straight from a checkout

uv run normalize-tabular-data

Usage

Launch with normalize-tabular-data. Keys:

Operations

• Normalize dates — parse a messy date column of any input format into canonical UTC datetimes; unparseable values become null.
• Trim whitespace — strip edges and collapse internal whitespace runs, per selected columns.
• Rename a column — click its header in the preview and type the new name.
• Deduplicate rows — on all or selected columns, keeping first or last.
• Combine columns — concatenate two or more columns with a separator.
• Split column — break one column into {col}_1..{col}_k; a blank delimiter splits on runs of whitespace.
• Remove columns — drop selected columns entirely.

Formats

Reads: CSV, TSV, JSON lines, Parquet, Excel (.xlsx/.xls — first sheet). Writes: CSV, TSV, JSON lines, Parquet, Excel (.xlsx).

Large files are previewed with a random sample of 250 rows; every operation still runs on the full data.

Operation scripts (.ntd)

Every open file keeps an internal log of the operations performed on it. When saving, the dialog offers a Save sequence of operations? checkbox (unticked by default); with it ticked, a second dialog asks where to write the script — suggested <table>.ntd, any other extension you type is kept.

The script is plain ASCII text, one operation per line, e.g.:

# normalize-tabular-data script
# source: employees.csv
# table: /data/employees-normalized.csv
# saved: 2026-10-05T12:30:11
trim_collapse(columns=["Dept", "Name"])
date_normalize(column="Hired Date")

Playing a script back

Press p (available while a file is loaded) to pick a script file: the dialog previews the highlighted .ntd file (syntax-highlighted, first 40 lines) before you confirm. Its operations are applied, in order, to the table you have open. If any step cannot be performed against the currently loaded file — a column it renames, trims or splits is missing, the operation is unknown — playing stops with an alert naming the failing step, and every step the script had already applied is rolled back, so the table is left exactly as it was.

Publishing

PyPI credentials live in $HOME/.pypirc (sections [pypi] and [testpypi]); uploads go through twine, which honors that file — uv publish does not read .pypirc, so it is not used here.

make dist       # build sdist+wheel into dist/ and run `twine check`
make testpypi   # upload to the TestPyPI sandbox (login section [testpypi])
make pypi       # upload to PyPI (login section [pypi])
twine upload    # equivalent of `make pypi`, minus a fresh build

The targets fail fast if the package metadata does not pass twine check, and twine runs with --non-interactive so a missing or wrong credential aborts the upload instead of prompting mid-run.

License

BSD 2-Clause. Copyright (c) 2026, Service Employees International Union (SEIU).

See LICENSE.