Lightweight dataset quality checks for CSV files
Project description
DataGuard
DataGuard is a lightweight Python package for basic dataset quality validation with both API and CLI support.
Features
- Missing value detection
- Duplicate row detection
- Optional target column analysis
- JSON report export
- Command line interface
Installation
From TestPyPI:
pip install -i https://test.pypi.org/simple/ dataguard-lite
Local development:
pip install -e .
Usage (Python API)
from dataguard import validate_csv
report = validate_csv("data.csv", target="label")
report.summary()
report.to_json("report.json")
Usage (CLI)
dataguard data.csv
dataguard data.csv --target label
dataguard data.csv --json report.json
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dataguard_lite-0.4.0.tar.gz
(4.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dataguard_lite-0.4.0.tar.gz.
File metadata
- Download URL: dataguard_lite-0.4.0.tar.gz
- Upload date:
- Size: 4.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b590a385096ea728febb5db89a9ac0651e38528b01e461118b6ece9135cffd45
|
|
| MD5 |
bd0cd108c2ad2d7f1c0172a267b5cd80
|
|
| BLAKE2b-256 |
70bcaffded414ef9dad7c483ececb8ff3a3a98e4d11e3f616a0959445bb06552
|
File details
Details for the file dataguard_lite-0.4.0-py3-none-any.whl.
File metadata
- Download URL: dataguard_lite-0.4.0-py3-none-any.whl
- Upload date:
- Size: 6.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad19798de0e683dc1b17c99d3940da68a1c4170ef9299a1ef44058125d79fa77
|
|
| MD5 |
da9b101b97928cf903bf841a9f4d0baa
|
|
| BLAKE2b-256 |
53168c9bfc7184f5c36cdd5dfada142f694023052b3b665745e0704e00f9dc12
|
