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 ;)

Your new Mentor for Data Science E-Learning.

📊 A highly interactive data-driven visualization grammar for statistical charts.

Create HTML profiling reports from pandas DataFrame objects

🍀 Local git statistics including GitHub-like contributions calendars.

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

Statistical Machine Intelligence & Learning Engine

Umami is a simple, fast, website analytics alternative to Google Analytics.

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

Count your code, quickly.

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

Machine learning, computer vision, statistics and general scientific computing for .NET

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

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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

simple statistics for node & browser javascript

Curated list of Python resources for data science.

✨ Standard library for JavaScript and Node.js. ✨

Math.NET Numerics

A Laravel package to retrieve pageviews and other data from Google Analytics

中国的Quant相关资源索引

📊 The statistical analysis tool for git repositories