lime | Python Package Wiki

Based on how often these packages appear together in public requirements.txt files on GitHub.

shap	A unified approach to explain the output of any machine learning model.
osqp	OSQP: The Operator Splitting QP Solver
aix360	IBM AI Explainability 360
kaggle	Kaggle API
jupyterlab	The JupyterLab notebook server extension.
datashader	Data visualization toolchain based on aggregating into a grid
dash-table	Dash table
scikit-plot	An intuitive library to add plotting functionality to scikit-learn objects.
interpret-core	Fit interpretable machine learning models. Explain blackbox machine learning.
interpret	Fit interpretable machine learning models. Explain blackbox machine learning.
xtoy	get xtoyed predictions from raw data
xport	SAS XPORT file reader
pythonds	Data structures package for Problem Solving with Algorithms and Data Structures using Python
jupyternotify	A Jupyter Notebook %%magic for Browser Notifications of Cell Completion
neo4j-doc-manager	Neo4j Doc manager for Mongo Connector
jupyterlab-server	JupyterLab Server
prometheus-client	Python client for the Prometheus monitoring system.
yellowbrick	A suite of visual analysis and diagnostic tools for machine learning.
skrebate	Relief-based feature selection algorithms

`pip install lime==0.2.0.1`