Metadata-Version: 2.4
Name: pypekit
Version: 0.1.5
Summary: Lightweight Python package for data pipelines
Project-URL: Homepage, https://github.com/pypekit/pypekit
Project-URL: Documentation, https://pypekit.readthedocs.io
Project-URL: Issues, https://github.com/pypekit/pypekit/issues
Author-email: Tim Berti <tim.fabian.berti@gmail.com>
License-Expression: MIT
License-File: LICENSE
Keywords: automation,automl,data-pipelines,data-science,etl,machine-learning,pipeline-framework,pipelines,python,synthesis,workflow
Classifier: Programming Language :: Python
Requires-Python: >=3.10
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Description-Content-Type: text/markdown

<div align="center" style="margin-bottom: 0;">
<img src="https://raw.githubusercontent.com/pypekit/pypekit/refs/heads/main/docs/assets/logo.png" width="150">
</div>

# pypekit

A lightweight Python framework for the automatic synthesis and cached execution of pipelines. The Documentation can be found [`here`](https://pypekit.readthedocs.io/).

## Installation

```bash
pip install pypekit
```

## Acknowledgements

Pypekit is being developed at the [Institute for Information Management in Engineering](https://www.imi.kit.edu/english/index.php) at the [Karlsruhe Institute of Technology](https://www.kit.edu/english/index.php). 