akmalsoliev/Validoopsie
A simple and easy to use Data Validation library for Python.
This is a Python library that helps developers ensure the accuracy and integrity of their data. You provide it with a dataset, like a spreadsheet or database table, along with rules you want to enforce (e.g., column 'age' must be between 20 and 40). It then checks your data against these rules and tells you if everything passes, or where the data fails. Data engineers, data scientists, and anyone building data pipelines would use this.
Available on PyPI.
Use this if you are a Python developer who needs a straightforward way to validate the quality and consistency of your tabular data within your applications or data pipelines.
Not ideal if you are a non-technical user looking for a no-code tool to perform data quality checks without writing Python code.
Stars
86
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2026
Monthly downloads
904
Commits (30d)
0
Dependencies
4
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