great-expectations 1.1.2
0
Always know what to expect from your data.
Contents
Always know what to expect from your data.
Stars: 9900, Watchers: 9900, Forks: 1533, Open Issues: 45The 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
Related Packages
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