capitalone/DataProfiler

What's in your data? Extract schema, statistics and entities from datasets

49
/ 100
Emerging

This tool helps data professionals understand what's inside their datasets, including identifying sensitive information like Personally Identifiable Information (PII). You input a file (CSV, Avro, Parquet, JSON, or plain text), and it outputs a detailed report with schema information, statistical summaries for each column, and detected entities. This is for anyone who needs to quickly assess the quality, structure, and privacy implications of raw data before using it for analysis or applications.

1,548 stars. No commits in the last 6 months.

Use this if you need a quick, comprehensive overview of a dataset's content, structure, and potential sensitive data without manual inspection.

Not ideal if you primarily need advanced data transformation, complex cleaning, or visual data exploration tools.

data-governance data-quality data-privacy data-auditing data-exploration
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

How are scores calculated?

Stars

1,548

Forks

185

Language

Python

License

Apache-2.0

Last pushed

Sep 26, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/data-engineering/capitalone/DataProfiler"

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