scikit-learn: machine learning in Python

Umami is a modern, privacy-focused analytics platform. An open-source alternative to Google Analytics, Mixpanel and Amplitude.

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 ;)

Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.

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

🚀 Level up your GitHub profile readme with customizable cards including LOC statistics!

Your new Mentor for Data Science E-Learning.

Count your code, quickly.

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

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

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

Open Source Feature Flags, Experimentation, and Product Analytics

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

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

🔩 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.

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

Statistical Machine Intelligence & Learning Engine

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

curl statistics made simple

✨ The fundamental numerical library for JavaScript and TypeScript. ✨

Statistics-driven benchmarking library for Rust

中国的Quant相关资源索引

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

Lightning ⚡️ fast forecasting with statistical and econometric models.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Curated list of Python resources for data science.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep