hmmlearn | Python Package Wiki

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

louvain	louvain is a general algorithm for methods of community detection in large networks.
scikit-learn	A set of python modules for machine learning and data mining
gapi	Simple utilties to explore the Gnip search API
seaborn	seaborn: statistical data visualization
nitime	Nitime: timeseries analysis for neuroscience data
vecstack	Python package for stacking (machine learning technique)
sklearn-deap	Use evolutionary algorithms instead of gridsearch in scikit-learn.
cooltools	Analysis tools for genomic interaction data stored in .cool format
colormap	Utilities to ease manipulation of matplotlib colormaps and color codecs (e.g., hex2rgb)
pykalman	An implementation of the Kalman Filter, Kalman Smoother, and EM algorithm in Python
lmfit	Least-Squares Minimization with Bounds and Constraints
qgrid	An Interactive Grid for Sorting and Filtering DataFrames in Jupyter Notebook
twclassify	.
chinese-whispers	An implementation of the Chinese Whispers clustering algorithm.
watermark	IPython magic function to print date/time stamps andvarious system information.
py-heat-magic	py-heat as IPython magic
rpy2	Python interface to the R language (embedded R)
ipycache	Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickle file.
nibabel	Access a multitude of neuroimaging data formats

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

pip install hmmlearn==0.2.6