datasanity
A tiny (<200 lines) CSV health-check + anomaly-detection tool.
It reports:
- Missing value percentages
- Duplicate row count
- Cardinality per column
- Basic anomaly score (z-score > 3)
- Row + column summary
Install
pip install datasanity
Usage
from datasanity import analyze_csv, pretty_report
r = analyze_csv("data.csv")
print(pretty_report(r))
CLI Demo
python run_demo.py
Local Development
To install the package locally for development:
cd datasanity
pip install -e .
Building for Distribution
To create a distributable package:
pip install build
python -m build
This creates .whl and .tar.gz files in the dist/ directory that you can share or upload to PyPI.
1 maintainer
Metadata
1 maintainer
Release files for datasanity 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| datasanity-0.1.0.tar.gz | 3.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datasanity-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / datasanity-0.1.0.tar.gz
| Download URL | datasanity-0.1.0.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / datasanity-0.1.0-py3-none-any.whl
| Download URL | datasanity-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bfa6ad531feee475ec94c873ecf15622ba065ddc10cc7d648b6ad61e3e6a0dad
|
|
BLAKE2b-256 checksum How to use checksums |
db47c41f251a661e189bcd1e887ae6a0dfa75edee5d7504d1ce557b18b74daee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for datasanity 0.1.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
