Supersetapache/incubator-superset
A data exploration platform designed to be visual, intuitive, and interactive.

interpretml/interpret
InterpretML implements the Explainable Boosting Machine (EBM), a modern, fully interpretable machine learning model based on Generalized Additive Models (GAMs). This open-source package also provides visualization tools for EBMs, other glass-box models, and black-box explanations.
A data exploration platform designed to be visual, intuitive, and interactive.
A Python module for machine learning built on top of SciPy.
A library providing high-performance, easy-to-use data structures and data analysis tools.
Streamlit is an framework to create beautiful data apps in hours, not weeks.
A Python library for quickly creating and sharing demos of models. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.
A framework for creating analytical web applications built on top of Plotly.js, React, and Flask