Great Expectations

GX Core is a Python-based framework used to identify and implement data quality tests. It uses the 'Expectations' structure, which is unit tests for data sets, and creates automatic documentation based on verification results. Python offers support between versions 3.10 and 3.13.

Great Expectations

great-expectations · Data Pipelines & ETL

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VERSIONv0.7.9

UPDATED5 mo ago

data-qualityTestingValidationPipelineApache-2.0

Common commercial products in this category: Fivetran, Informatica, Stitch

What can it do?

You define data quality tests using 'Expectations' for your data sets.
You automatically create data documentation from verification results.
You maintain on-premises data information by standardizing data quality processes.

User reviews

↑ PositiveHacker News
Great Expectations: data testing, documentation, and profiling
“I'd have loved that at the time! But clients don't like it when we ask them to fix these things. Less flippantly, with large organizations, the people giving you the data aren't necessarily the people who entered the data or have the ability or skills to fix it. They may also be…”

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Fivetran alternatives Informatica alternatives Stitch alternatives

Great Expectations