Metadata-Version: 2.4
Name: dqtlib
Version: 0.1.3
Summary: Data quality, observability, semantic, and causality library
Project-URL: Homepage, https://github.com/antonbarr-data/dqt
Project-URL: Repository, https://github.com/antonbarr-data/dqt
Author-email: Anton Barr <antonbar@gmail.com>
License: MIT
Keywords: anomaly-detection,causal-inference,causality,data-drift,data-quality,observability
Requires-Python: >=3.12
Requires-Dist: diptest>=0.6
Requires-Dist: duckdb>=0.9
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Provides-Extra: causal
Requires-Dist: causal-learn>=0.1; extra == 'causal'
Requires-Dist: dowhy>=0.11; extra == 'causal'
Requires-Dist: tigramite>=0.7; extra == 'causal'
Provides-Extra: deep
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Provides-Extra: explain
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Provides-Extra: postgres
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Provides-Extra: reports
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Description-Content-Type: text/markdown

# dqtlib

**Open-source data quality, lineage, semantic layer & causality — for dbt, warehouses and data lakes.**

pip-installable Python library for watching dbt-built warehouses and any SQL warehouse for statistical drift, anomalies, silent regressions, and explaining *why* metrics moved.

```bash
pip install dqtlib
```

The import name is `dqt`:

```python
from dqt import Check, Runner, MemoryStore
```

Full documentation and examples: https://github.com/antonbarr-data/dqt
