Dev.to
6/19/2026

Show Dev: TSAuditor, a data quality auditing library for time-series tabular data
Short summary
TSAuditor is an open-source Python library for automated data quality auditing in time-series tabular datasets, with a focus on financial and sensor data. It detects missing timestamps, duplicates, data gaps, outliers, feature leakage, and structural breaks while validating timestamp continuity. Designed to simplify data cleaning in ETL pipelines, it's now open for community feedback and contributions.
- •Open-source Python library specifically for time-series data quality auditing
- •Detects structural issues: missing timestamps, duplicates, gaps, outliers, leakage, breaks
- •Targets financial and sensor data domains; aims to streamline ETL data cleaning
Generated with AI, which can make mistakes.
Is this a good recommendation for you?



