dwrappr 1.0.6

A lightweight and extensible Python package for managing data, tailored for researchers working with structured data.

📦 dwrappr

A lightweight and extensible Python package for managing data, tailored for researchers working with structured data. In addition to general data management features, the package introduces a data structure specifically optimized for ML research. This common format enables researchers to efficiently test new algorithms and methods, streamlining collaboration and ensuring consistency in data management across projects.

Under development.

🧩 Features

• 🗃️ Consistent dataset object structure for handling structured data in ML use cases
• 🔄 Support for building a file-based internal dataset collaboration platform for researchers
• 🧰 General utilities for managing data like saving and loading

📄 Help

See Documentation for details.

🛠️ Package Installation

pip install dwrappr

(keep package updated with pip install dwrappr --upgrade)

🚀 Quickstart Examples

• loading_dataset_from_file.py: Shows how to load a dataset from an existing dataset file
• scanning_folder_for_datasets.py: Shows how to scann a folder vor available datasets
• dataset_functionalities.py : Shows some of the main functionalities of the DataSet class.

🔧 Maintainer

This project is maintained by Nils