Agent that monitors a flow of data and uses Isolation Forest techniques to identify statistical outliers and anomalies.
A django-framework self-hosted invest statistics tool. Works well in analysis index-based investments.
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.
Open disease data. covid-19 stats. REST API. Free to use. Sources information from multiple places. Kept as up to date as possible. JSON output.
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.
A fuzzy string matching module for Python. Seems fairly smart, designed to be practical. Can also use python-levenstein for additional matching accuracy if available. Looks very helpful for searching on arbitrary strings. Does the statistical analysis for you (percentage probability of a good match).
Port of Python 3.4 statistics module to v2.7 and up.
David MacKay has put the textbook he wrote online for everyone to download in a variety of formats. If you find it useful, consider buying a copy.
A command line utility that calculates the amount of informational entropy in arbitrary fields of data. Useful for cryptanalysis and data compression research
A website about randomness, (pseudo-)random number generators, and cryptographic entropy. Contains discussions of these topics as well as some online RNGs to play with.
Along with NIST SP800-22rev1 (statistical analysis of pseudo-random number generators), the Statistical Test Suite can be used to actually perform the tests outlined in this document. Runs under Windows, Linux, and Mac OSX. Written in C.
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.