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pypi.org : great-expectations-experimental

Always know what to expect from your data.

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purl: pkg:pypi/great-expectations-experimental
Keywords: data, science, testing, pipeline, quality, dataquality, validation, datavalidation, cleandata, data-engineering, data-profilers, data-profiling, data-quality, data-science, data-unit-tests, datacleaner, datacleaning, dataunittest, eda, exploratory-analysis, exploratory-data-analysis, exploratorydataanalysis, mlops, pipeline-debt, pipeline-testing, pipeline-tests
License: Apache-2.0
Latest release: 27 days ago
First release: over 3 years ago
Dependent packages: 1
Dependent repositories: 1
Downloads: 271,315 last month
Stars: 9,129 on GitHub
Forks: 1,438 on GitHub
Total Commits: 10193
Committers: 442
Average commits per author: 23.061
Development Distribution Score (DDS): 0.863
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 10 days ago

• Readme
• Versions 511
• Dependent Packages 1
• Maintainers 4
• Related Packages 2