Project Title

great_expectations — Always know what to expect from your data with expressive and extensible unit tests.

Overview

Great Expectations is an open-source data quality tool that helps teams to maintain high-quality data by using Expectations, a common language for data quality tests. It simplifies data quality processes and preserves institutional knowledge about data, fostering collaboration through intuitive documentation and validation results.

Key Features

Expressive and extensible unit tests for data (Expectations)
Automatic generation of documentation for validation results
Support for various data sources and integrations
Python 3.9 through 3.12 compatibility, with experimental support for Python 3.13 and later

Use Cases

Data teams to express data quality tests in an intuitive way
Simplifying data quality processes and preserving institutional knowledge
Collaboration by providing a common language for data quality

Advantages

Fosters collaboration by giving teams a common language for data quality
Simplifies data quality processes and helps preserve institutional knowledge
Supports a wide range of data sources and integrations

Limitations / Considerations

Limited to Python-based environments
Experimental support for Python versions beyond 3.12 may require additional setup

dbt (Data Build Tool): A command-line tool that enables data analysts and engineers to transform data in their warehouse to analyze and make business decisions. It differs in that it focuses on data transformation rather than data quality.
Apache Griffin: A platform for data quality and data governance that provides a unified solution for data quality assessment, improvement, and auditing. It is more comprehensive but may be more complex to set up and use.

Basic Information

GitHub: https://github.com/great-expectations/great_expectations
Stars: 10,791
License: Unknown
Last Commit: 2025-09-26

📊 Project Information

Project Name: great_expectations
GitHub URL: https://github.com/great-expectations/great_expectations
Programming Language: Python
⭐ Stars: 10,791
🍴 Forks: 1,625
📅 Created: 2017-09-11
🔄 Last Updated: 2025-09-26

🏷️ Project Topics

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