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 * [lime](https://github.com/marcotcr/lime) - Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes.
 * [PyCM](https://github.com/sepandhaghighi/pycm) - PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters
 * [Dash](https://github.com/plotly/dash) - A framework for creating analytical web applications built on top of Plotly.js, React, and Flask
+* [Lambdo](https://github.com/asavinov/lambdo) - A workflow engine for solving machine learning problems by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation via user-defined (Python) functions.
 
 <a name="python-misc"></a>
 #### Misc Scripts / iPython Notebooks / Codebases