Metadata-Version: 2.1
Name: ez-transform
Version: 0.1.6
Summary: Analytics engineering for data lakes.
Home-page: https://github.com/ez-transform/ezt-core
License: Apache-2.0
Author: John Kaustinen
Author-email: jokausti@gmail.com
Requires-Python: >=3.8,<3.11
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Dist: Jinja2 (>=3.0.3,<4.0.0)
Requires-Dist: PyYAML (>=6.0,<7.0)
Requires-Dist: adlfs (>=2023.1.0,<2024.0.0)
Requires-Dist: click (>=8.0.3,<9.0.0)
Requires-Dist: deltalake (>=0.7.0,<0.8.0)
Requires-Dist: graphlib-backport (>=1.0.3,<2.0.0)
Requires-Dist: jsonschema (>=4.14.0,<5.0.0)
Requires-Dist: multiprocess (>=0.70.14,<0.71.0)
Requires-Dist: polars (>=0.15.17,<0.16.0)
Requires-Dist: pyarrow (==11.0.0)
Requires-Dist: rich (>=12.2.0,<13.0.0)
Requires-Dist: rich-click (>=1.3.0,<2.0.0)
Requires-Dist: s3fs (>=2022.11.0,<2023.0.0)
Project-URL: Documentation, https://ez-transform.github.io/ezt-core/
Project-URL: Repository, https://github.com/ez-transform/ezt-core
Description-Content-Type: text/markdown

💥 ez-transform (Ezt)
================

Analytics Engineering for Data Lakes powered by
[polars](https://github.com/pola-rs/polars),
[arrow](https://github.com/apache/arrow) and
[delta-rs](https://github.com/delta-io/delta-rs).

👉 Installation
------------

We recommend first setting up a Python virtual environment and activating it.

```bash
$ python -m venv .venv
```

```bash
$ source .venv/bin/activate
```

And then install Ezt with pip into your virtual environment.

```bash
$ pip install ez-transform
```

👉 Getting started
------------

You can test out Ezt by creating a project from the command line.

```bash
$ ezt init myproject && cd myproject
```

Now you have created a project and can use your IDE of choice to start
developing your data models. 🥳

Check out the documentation at <https://ez-transform.github.io/ezt-core/> to learn more about how to develop data models with Ezt.

