Contents

great-expectations 1.1.2

0

Always know what to expect from your data.

Always know what to expect from your data.

Stars: 9900, Watchers: 9900, Forks: 1533, Open Issues: 45

The great-expectations/great_expectations repo was created 7 years ago and the last code push was 22 hours ago.
The project is extremely popular with a mindblowing 9900 github stars!

How to Install great-expectations

You can install great-expectations using pip

pip install great-expectations

or add it to a project with poetry

poetry add great-expectations

Package Details

Author
The Great Expectations Team
License
Apache-2.0
Homepage
https://greatexpectations.io
PyPi:
https://pypi.org/project/great-expectations/
GitHub Repo:
https://github.com/great-expectations/great_expectations

Classifiers

  • Scientific/Engineering
  • Software Development
  • Software Development/Testing
No  great-expectations  pypi packages just yet.

Errors

A list of common great-expectations errors.

Code Examples

Here are some great-expectations code examples and snippets.

GitHub Issues

The great-expectations package has 45 open issues on GitHub

  • [MAINTENANCE] Clean up new RBP types, method signatures, and method names for the long term.
  • Expectation docstrings not present in Jupyter notebooks
  • [FEATURE] Add maturity_checklist to ExpectationDiagnostics
  • Trailing comma in expectation json causes hard to debug json parse error.
  • Bump prismjs from 1.23.0 to 1.26.0
  • Bump numpy from 1.19.1 to 1.21.0 in /docs_rtd
  • Created a page containing our glossary of terms and definitions.
  • More flexibility in managing cardinality for rule-based profilers
  • Creating expectation suite using profiler fails when: expect_column_values_to_be_in_set is used and element count >16000 w/ snowflake db
  • BigQuery GEOGRAPHY column type not recognised
  • [WIP][EXPERIMENTAL] Promote dependency graph test strategy to production
  • Bump nanoid from 3.1.22 to 3.2.0
  • Support nullable int column types
  • [BUGFIX] Fix s3 path suffix bug on windows
  • Bump ipython from 7.17.0 to 7.31.1 in /docs_rtd

See more issues on GitHub

Related Packages & Articles

dagster 1.8.11

Dagster is an orchestration platform for the development, production, and observation of data assets.