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Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

The docs include a tutorial, example gallery, API reference, and other useful information.

EntroPy is a Python 3 package providing several time-efficient algorithms for computing the complexity of one-dimensional time-series. It can be used for example to extract features from EEG signals.

EntroPy cannot be installed using pip or conda. There is already a package called entropy on the pip repository, which should not be mistaken with the current package.

Uses the mathematical analysis modules that you'd expect.

Can calculate permutation, spectral, singular value decomposition, appromate, sample, and Lempel-Ziv entropy. Can calculate Petrosian, Katz, Higuchi, and detrended fluctuation fractal dimensionality.

One of those nifty system monitoring packages, with all the buzzwords you'd expect. Watches systems as well as applications. Has a dashboard, which I think you can disable. Realtime, too. Supports third party extensions and applications. Tries to use as little RAM as possible, tries to carry out as little storage I/O as possible. Claims to have a web API. Zero dependent packages.

Can notify through multiple means, including IRC, email, Pushover, and custom endpoints.

There is an OpenWRT package called 'netdata' which can be installed normally.

Port of Python 3.4 statistics module to v2.7 and up.

A free, open source mathematical processing system written in Python.

A free book on computation and understanding-first, math-second Bayesian reasoning techniques for hackers. The book is free for download and reference.

Github: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Exponential moving average. Used to smooth spikes out in a stream of numerical data.

Python module that implements the summarization of html and text using several different algorithms.