Dora
A Python library that automates the tedious parts of exploratory data analysis with cleaning, feature engineering, visualization, and versioning.
What is Dora?
Dora is a Python library that automates the painful parts of exploratory data analysis. It provides convenience functions for data cleaning, feature selection and extraction, visualization, model validation partitioning, and data versioning. It is designed to work alongside common Python data tools like pandas, scikit-learn, and matplotlib.
Data scientists, analysts, and machine learning engineers who regularly perform exploratory data analysis in Python and want to reduce repetitive coding tasks.
Developers choose Dora because it consolidates multiple EDA steps into a single, cohesive toolkit, saving time and ensuring reproducibility through built-in data versioning and transformation logging.
Overview
Tools for exploratory data analysis in Python
Use Cases
Best For
- Automating data cleaning and preprocessing pipelines
- Rapid feature engineering and selection during EDA
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
