{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/7"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"},{"label":"Testing","url":"https://skillfed.io/packages/category/software-development-testing/3"}],"enrichment":{"capability":"Experimental extensions and early-stage features for Great Expectations, the data quality validation framework that uses Expectations as unit tests for data.","skillfed_tags":["data-quality","experimental","validation"],"use_cases":["Trial new data validation features in Great Expectations before they reach stable release","Test experimental data source integrations or validation patterns in a development environment","Extend data quality testing workflows with early-access features while keeping production on stable versions","Collaborate with the Great Expectations community on feedback for experimental capabilities"],"what_it_does":"great-expectations-experimental provides early-stage and experimental extensions to Great Expectations, the data quality framework built around Expectations\u2014expressive, extensible unit tests for data. The base framework helps teams express data quality requirements in a common language, automatically generate validation documentation, and preserve institutional knowledge about data. This experimental package wraps experimental features on top of that foundation.\n\nAs a thin wrapper around great-expectations with low install friction, it is designed for teams already using Great Expectations who want to trial new capabilities before they stabilize. The package is actively maintained and draws from a large community, but its Beta status and experimental nature mean features may change or be removed.","worth_installing":"Yes, with conditions: install only if you are already using great-expectations and want to trial experimental features in a non-production environment. The low install friction, active maintenance, and permissive license make it safe to try, but the Beta status and experimental nature mean features may change. Not recommended for production deployments or teams new to Great Expectations."},"id":"great-expectations-experimental","links":{"html":"https://skillfed.io/packages/great-expectations-experimental","md":"https://skillfed.io/packages/great-expectations-experimental.md","pypi":"https://pypi.org/project/great-expectations-experimental/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2024-09-17","license_spdx":null,"license_treatment":"permissive","name":"great-expectations-experimental","python_support":"unspecified","summary":"Always know what to expect from your data."},"popularity":{"monthly_downloads":583318,"position":5895,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.20240917055"}