# Citation metadata for the dataprof software.
#
# This file describes the software only. dataprof has no associated
# publication, DOI, or archival record, so there is deliberately no
# `preferred-citation`, `doi`, or `identifiers` entry here. Do not add one
# unless a publication actually exists: GitHub renders whatever this file
# claims, and an invented citation is worse than none.
#
# At each release, update `version` and `date-released` to match the tag.
# Nothing else here changes from one release to the next.
cff-version: 1.2.0
title: dataprof
message: >-
If you use dataprof in your work, please cite it using the metadata in this
file. GitHub's "Cite this repository" button generates APA and BibTeX from it.
type: software
authors:
- family-names: Bozzo
given-names: Andrea
email: andreabozzo92@gmail.com
repository-code: https://github.com/AndreaBozzo/dataprof
url: https://andreabozzo.github.io/dataprof/
abstract: >-
dataprof is a local, deterministic data profiling and quality assessment
library for CSV, JSON, JSONL, and Parquet sources. It is a Rust workspace with
a PyO3-based Python package on top, and reports ISO 8000/25012 quality
dimensions alongside column statistics, type inference, and pattern
detection. It profiles data and reports on it; it does not transform, clean,
or move it.
keywords:
- data profiling
- data quality
- data engineering
- rust
- python
- csv
- parquet
license:
- MIT
- Apache-2.0
version: 0.10.0
date-released: '2026-07-24'