xport | Python Package Wiki

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

aix360	IBM AI Explainability 360
osqp	OSQP: The Operator Splitting QP Solver
comet-ml	Supercharging Machine Learning
shap	A unified approach to explain the output of any machine learning model.
lime	Local Interpretable Model-Agnostic Explanations for machine learning classifiers
jupyterlab-server	JupyterLab Server
menpo3d	Menpo library providing tools for 3D Computer Vision research
prometheus-client	Python client for the Prometheus monitoring system.
yellowbrick	A suite of visual analysis and diagnostic tools for machine learning.
wurlitzer	Capture C-level output in context managers
kaggle	Kaggle API
Send2Trash	Send file to trash natively under Mac OS X, Windows and Linux.
pystardog	Use Stardog with Python!
vega-datasets	A Python package for offline access to Vega datasets
interpret	Fit interpretable machine learning models. Explain blackbox machine learning.
xtoy	get xtoyed predictions from raw data
interpret-core	Fit interpretable machine learning models. Explain blackbox machine learning.
backcall	Specifications for callback functions passed in to an API
ps	None

Proportion of downloaded versions in the last 3 months (only versions over 1%).

pip install xport==3.2.1