Great Expectations
Leading open-source framework for data quality, testing, profiling, and documentation.
Why consider Great Expectations?
Great Expectations is an open-source data quality and validation library written in Python. It helps data engineers assert pipeline assumptions, automate dataset profiling, generate living data documentation (Data Docs), and catch pipeline regressions before they hit downstream dashboards.
Learn Great Expectations by building
Practical setup notes, real use cases, and copy-ready examples in one focused guide.
In this guide2 sections
Overview of Great Expectations
Great Expectations tests data integrity and generates automatic validation reports on every ingestion batch.
Quickstart
pip install great_expectationsgreat_expectations initGreat Expectations is licensed under the Apache License Version 2.0.
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