Should a small team use great_expectations?

Adopt now. Mature enough to put in production this quarter. Small data teams with Python skills

Can great_expectations be used in a commercial product?

Its licence is Apache-2.0, which is permissive and generally fine for commercial use. Confirm against the LICENSE file in the repository.

Adopt now+56 this week★ 11,737 · 1,811 forks

Data validation and profiling tool

Mature enough to put in production this quarter.

Who it's for

Small data teams with Python skills

What it replaces

Manual data quality checks

The catch

Steep learning curve and config overhead

Your first hour

Install and validate a sample dataset

Stars11,737

Forks1,811

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Open issues39

LanguagePython

LicenceApache-2.0

Last pushUpdated today

Project age9 years old

Maintainers describe it as: “Always know what to expect from your data.”

cleandatadata-engineeringdata-profilersdata-profilingdata-qualitydata-sciencedata-unit-testsdatacleanerdatacleaningdataquality

Should a small team use great_expectations?: Adopt now. Mature enough to put in production this quarter. Small data teams with Python skills
What does great_expectations actually do?: Data validation and profiling tool
What does great_expectations replace?: Manual data quality checks
What is the downside of great_expectations?: Steep learning curve and config overhead
Can great_expectations be used in a commercial product?: Its licence is Apache-2.0, which is permissive and generally fine for commercial use. Confirm against the LICENSE file in the repository.

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