Metadata-Version: 2.1
Name: archetypon
Version: 0.0.1
Summary: Data Modeling and validation with Pydantic and Pandas, specifically designed for Jupyter Notebooks.
Home-page: https://github.com/schlinkertc/archetypon
Author: Charlie Schlinkert
Author-email: cschlinkert@pretium.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: fastcore
Requires-Dist: pandas
Requires-Dist: pydantic
Requires-Dist: IPython
Requires-Dist: json2html
Requires-Dist: snowflake-connector-python
Requires-Dist: snowflake-sqlalchemy
Requires-Dist: sqlalchemy
Provides-Extra: dev

Archetypon
================

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`archetypon` (pronounced “archetype on”) is a library that uses Pydantic
to validate Pandas Dataframes. It includes some usefull extensions of
Pydantic’s BaseModel class display models in Jupyter Notebooks and
Jupyter Lab.

It’s built using `nbdev`

## Install

``` sh
pip install archetypon
```

## Example
