scikit-learn: machine learning in Python
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Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.
Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
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 ;)
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Count your code, quickly.
Your new Mentor for Data Science E-Learning.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Statsmodels: statistical modeling and econometrics in Python
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
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
▁▅▆▃▅ 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.
Statistical Machine Intelligence & Learning Engine
Lightning ⚡️ fast forecasting with statistical and econometric models.
Self hosted Spotify tracking dashboard
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Math.NET Numerics
Java dataframe and visualization library
A Laravel package to retrieve pageviews and other data from Google Analytics
Visualize and compare datasets, target values and associations, with one line of code.
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.