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conda-forge.org : great-expectations

Great Expectations helps teams save time and promote analytic integrity by offering a unique approach to automated testing: pipeline tests. Pipeline tests are applied to data (instead of code) and at batch time (instead of compile or deploy time). Pipeline tests are like unit tests for datasets: they help you guard against upstream data changes and monitor data quality. Software developers have long known that automated testing is essential for managing complex codebases. Great Expectations brings the same discipline, confidence, and acceleration to data science and engineering teams.

Registry - Source - JSON
purl: pkg:conda/great-expectations
Keywords: cleandata, data-engineering, data-profilers, data-profiling, data-quality, data-science, data-unit-tests, datacleaner, datacleaning, dataquality, dataunittest, eda, exploratory-analysis, exploratory-data-analysis, exploratorydataanalysis, mlops, pipeline, pipeline-debt, pipeline-testing, pipeline-tests
License: Apache-2.0
Latest release: over 1 year ago
First release: over 1 year ago
Dependent packages: 2
Dependent repositories: 1
Stars: 8,121 on GitHub
Forks: 1,268 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 20 days ago

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