
Dora
Exploratory data analysis in Python is the focus of Dora, a library with functions for cleaning, feature selection, visualization, and validation.

About Dora
Dora is a Python library designed to automate the painful parts of exploratory data analysis. It is meant to be a helpful addition to pandas, scikit-learn and matplotlib. Data can be loaded from a file path or a pandas DataFrame, and usage is shown as Python code. It is a public GitHub repository.
Pricing is not clearly stated.
Key features
- Fill missing values with column averages.
- Scale input features to unit variance.
- Remove features from a dataset.
- One-hot encode ordinal features.
- Split data into training and validation sets, about 80/20.
- Plot individual features against the output variable.
- Save data snapshots, return to earlier versions and keep a log of transformations.
- Released under the MIT License.
- The maintainer may not act on every feature request.
Dora at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
Dora alternatives
Tools and sites you could use instead, ranked by how closely they match.
Stan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.
The pandas project provides open-source Python tools for analyzing and manipulating data.
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
bamboolib provides a graphical interface for working with Pandas DataFrames.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
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