| Name | datajudge JSON |
| Version |
1.9.2
JSON |
| download |
| home_page | None |
| Summary | datajudge allows to assess whether data from database complies with reference |
| upload_time | 2024-09-05 09:03:11 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
test
databases
validation
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# datajudge
[](https://github.com/Quantco/datajudge/actions/workflows/ci.yaml)
[](https://datajudge.readthedocs.io/en/latest/?badge=latest)
[](https://anaconda.org/conda-forge/datajudge)
[](https://pypi.org/project/datajudge)
[](https://codecov.io/github/QuantCo/datajudge?branch=main)
Express and test specifications against data from database.
[Documentation](https://datajudge.readthedocs.io/en/latest/index.html)
# Usage
`datajudge` can either be installed via pypi with `pip install datajudge` or via conda-forge with `conda install datajudge -c conda-forge`.
Please refer to the [Getting Started](https://datajugde.readthedocs.io/en/latest/getting_started.html) section of our documentation for details.
Expressing an expectations between different tables from a database may look as such:
```python
from datajudge import BetweenRequirement
companies_between_req = BetweenRequirement.from_tables(
db_name1="example",
table_name1="companies",
db_name2="example",
table_name2="companies_archive",
)
companies_between_req.add_row_superset_constraint(
columns1=["name"], columns2=["name"], constant_max_missing_fraction=0
)
```
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