scikit-learn: machine learning in Python

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Umami is a simple, fast, privacy-focused alternative to Google Analytics.

Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.

Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets

Your new Mentor for Data Science E-Learning.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Count your code, quickly.

Statsmodels: statistical modeling and econometrics in Python

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

🍀 Local git statistics including GitHub-like contributions calendars.

Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go

▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.

Statistical Machine Intelligence & Learning Engine

Open Source Feature Flagging and A/B Testing Platform

A Python based monitoring and tracking tool for Plex Media Server.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.