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DataRefiner: An Advanced Toolkit for Data Transformation and Processing

Project description

DataRefiner: An Advanced Toolkit for Data Transformation and Processing

GitHub release Wheel PyPI version PyPI - Python Version PyPI - Status PyPI - Downloads Downloads Tests & Publishes to PyPI Documentation Status Chat DOI License: GPL v3


DataRefiner is a cutting-edge Python library designed to streamline and enhance the data transformation and processing workflow. Whether you're dealing with complex datasets in machine learning, data analysis, or any data-driven domain, DataRefiner provides an extensive suite of tools to ensure your data is clean, well-structured, and ready for insightful analysis.

Key features of DataRefiner include:

  • Advanced Data Transformation: Perform sophisticated data manipulation tasks with ease, including normalization, scaling, encoding, and more.
  • Customizable Processing Pipelines: Create flexible and reusable data processing pipelines tailored to your specific needs.
  • Integration with Popular Libraries: Seamlessly integrate with libraries such as scikit-learn, pandas, and NumPy to enhance your existing data processing workflows.
  • User-Friendly API: Enjoy an intuitive and easy-to-use interface that simplifies complex data transformation tasks.

DataRefiner is designed for data scientists, machine learning engineers, and researchers who demand precision and efficiency in their data preparation processes. Empower your data projects with DataRefiner and unlock the full potential of your data.

DataRefiner An Advanced Toolkit for Data Transformation and Processing
Free software GNU General Public License (GPL) V3 license
Documentation https://datarefiner.readthedocs.io
Python versions >= 3.8.x
Dependencies numpy, scipy, scikit-learn, pandas, permetrics

Usage

$ pip install datarefiner

After installation, you can check DataRefiner version:

$ python
>>> import datarefiner
>>> datarefiner.__version__

Please go check out the examples folder. You'll be surprised by what this library can do for your data. You can also read the documentation for more detailed installation instructions, explanations, and examples.

Citation Request

If you use this library for your project, please cite us with:

@software{thieu_2024_12820732,
  author       = {Nguyen Van Thieu},
  title        = {DataRefiner: An Advanced Toolkit for Data Transformation and Processing},
  month        = jul,
  year         = 2024,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.12820731},
  url          = {https://github.com/thieu1995/DataRefiner}
}

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