josephmisiti/awesome-machine-learning
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Add Dash - Interactive, Reactive Web Apps for Python

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Figured out that this might be relevant for this awesome list, since Plotly.py and bokeh are already in there. Dash targets the same audience, but complements the current visualization libraries (web support, native plotly integration, reactive, etc.).
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Xing Han Lu 2018-09-22 15:30:20 -04:00 committed by GitHub
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@ -1036,6 +1036,7 @@ be
* [Bowtie](https://github.com/jwkvam/bowtie) - A dashboard library for interactive visualizations using flask socketio and react.
* [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
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#### Misc Scripts / iPython Notebooks / Codebases