DataProfiler is an AI-powered tool for automatic data analysis and profiling, designed to detect patterns, anomalies, and schema inconsistencies in structured and unstructured datasets. The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and more. Data Profiles can then be used in downstream applications or reports.

Features

  • Automatically detects schema, types, and distributions in datasets
  • Supports structured (CSV, SQL) and unstructured (text, logs) data
  • Identifies Personally Identifiable Information (PII)
  • Provides statistical summaries and data quality metrics
  • Works with large-scale datasets efficiently
  • Open-source with Python API integration

Project Samples

DataProfiler Screenshot 1

Project Activity

See All Activity >

Categories

Natural Language Processing (NLP)

License

Apache License V2.0

Follow DataProfiler

DataProfiler Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of DataProfiler!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-23
Report inappropriate content