Metadata-Version: 2.1
Name: dbt-snapshot-analysis
Version: 0.2.13
Summary: A package for analyzing snapshots
Home-page: https://github.com/data-drift/data-drift/tree/main/tools/dbt-snapshot-analysis
Author: Sammy Teillet
Author-email: sammy.teillet@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: plotly
Requires-Dist: streamlit

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<p align="center">
  <a href="https://www.data-drift.io">
    <img src="https://github.com/data-drift/data-drift/blob/13a11b48ed7191b63f3c688eef67fbf843103323/datadrift-logo-dark.png?raw=true" width="200px" alt="Datadrift logo" />
  </a>
</p>

<h2 align="center" >dbt Snapshot Analysis</h3>

<p align="center"><a href="https://data-drift.io">Website</a> · <a href="https://www.data-drift.io/blog">Blog</a></p>
</br>

# dbt Snapshot Analysis

[![PyPI version](https://badge.fury.io/py/dbt-snapshot-analysis.svg)](https://badge.fury.io/py/dbt-snapshot-analysis)

**Analyse the stability of your key metrics**
</br>
Changes of a metric’s historical value harms data consumers’ trust.

dbt Snapshot Analysis is Python package to get insight on the quality and stability of the metrics your report.

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<p align="center">
  <a href="https://pypi.org/project/dbt-snapshot-analysis">
    <img src="https://github.com/data-drift/data-drift/blob/main/tools/dbt-snapshot-analysis/dbt-snapshot-analysis.gif?raw=true" alt="dbt snapshot analysis gif" />
  </a>
</p>

# 🚀 Quickstart

## Installation

You can install DBT Snapshot Analysis using `pip`:

```sh
pip install dbt-snapshot-analysis
```

## Usage

```sh
dbt_snapshot_analysis
```

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This project is developped by the DataDrift team with 💚. Check out our [main repository](https://github.com/data-drift/data-drift).
