wandb | Python Package Wiki

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

pretrainedmodels	Pretrained models for Pytorch
botorch	Bayesian Optimization in PyTorch
gpytorch	An implementation of Gaussian Processes in Pytorch
ax-platform	Adaptive Experimentation
cmdstanpy	Python interface to CmdStan
sigopt	SigOpt Python API Client
matminer	matminer is a library that contains tools for data mining in Materials Science
LunarCalendar	A lunar calendar converter, including a number of lunar and solar holidays, mainly from China.
jupyter_declarativewidgets	Jupyter extensions for supporting declarative widgets
jupyter_cms	Extension for Jupyter Notebook 4.0.x with experimental content management features
jupyter_dashboards	Extension for Jupyter Notebook for laying out, viewing, and deploying notebooks as dynamic dashboards
geopandas	Geographic pandas extensions
DataSpyre	Spyre makes it easy to build interactive web applications,and requires no knowledge of HTML, CSS, or Javascript.
pandas	Powerful data structures for data analysis, time series, and statistics
thepipe	A lightweight, general purpose pipeline framework.
km3io	KM3NeT I/O without ROOT
particle	Extended PDG particle data and MC identification codes
apexpy	A Python wrapper for Apex coordinates
iml	Interpretable Machine Learning (iML) package. Explain the predictions of any model.

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

pip install wandb==0.12.6