datajudge
Express and test specifications against data from database.
Supported backends
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 section of our documentation for details.
Expressing an expectations between different tables from a database may look as such:
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
)
Release files for datajudge 1.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datajudge-1.13.0.tar.gz | 498.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datajudge-1.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 556.7 kB
Release files / datajudge-1.13.0.tar.gz
| Download URL | datajudge-1.13.0.tar.gz |
|---|---|
| Size | 498.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1f8b61bcb1d198ccefa47ceafc54b46f20795988176da4a8d6d0d840bfc61e5b
|
|
BLAKE2b-256 checksum How to use checksums |
a9a34d12498e6865c6eeac34e75c6d75b48fcaf9cabde5e1ab5638b72e7b0063
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 20, 2026.
Transparency logRelease files / datajudge-1.13.0-py3-none-any.whl
| Download URL | datajudge-1.13.0-py3-none-any.whl |
|---|---|
| Size | 58.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
eec8df39fc8520f1b8d95c84af966bce88d7583a323ea18aa6dda7444071a227
|
|
BLAKE2b-256 checksum How to use checksums |
764e1594e0d4713a8087dd3be7930bd63ec59c1ee6b798df2a258e41667b40ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 20, 2026.
Transparency log
