Statistics
Showing 36 of 221 projects
A command-line ASCII kanban board for managing personal and team todos using CSV files, with scripting and statistics.
A JavaScript library for linear least-squares curve fitting and regression analysis.
API observability middleware for Node.js microservices, tracing calls and monitoring performance, health, and usage statistics.
Learn statistics through Python with real-world examples like analyzing marijuana price data across US states.
A JavaScript library for scientific and statistical computing, offering R-like statistical methods and linear algebra.
A Swift library providing probability tools and advanced data structures for building intelligent iOS/macOS applications.
A Go library for naive Bayesian classification and TF-IDF calculations on string sets.
A comprehensive statistical computation library for Rust, providing distributions, functions, and utilities for scientific computing.
A Python library for introductory data science education, developed for Berkeley's Data 8 course.
A self-hosted web application to track, rate, and explore your personal movie watch history with detailed statistics and integrations.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
A Swift library providing a comprehensive collection of functions for statistical calculations.
An R package for fitting linear, generalized, and nonlinear mixed-effects models using S4 classes and RcppEigen.
A Julia package for fitting linear and generalized linear models with comprehensive statistical functionality.
An advanced PostgreSQL extension for query performance monitoring, aggregating statistics in configurable time buckets.
An Erlang-based metrics system for collecting realtime metrics from Erlang applications and publishing them via APIs and plugins.
A C++ header-only library of statistical distribution functions with compile-time computing capabilities.
A Python library for statistical learning with a focus on time-dependent modeling, including point processes and generalized linear models.
An R package that automates exploratory data analysis and data treatment with one-line reports and visualizations.
An engine for ML/data tracking, visualization, explainability, drift detection, and dashboards, integrated with Polyaxon.
A lightweight Python tool for generating rich summary statistics of pandas and Polars dataframes directly in the console.
An unofficial Node.js API for programmatically accessing HLTV's Counter-Strike esports data, including matches, teams, players, and live scores.
A Julia package providing efficient, type-safe implementations of numerous distance metrics and divergences between vectors and matrices.
A comprehensive PHP port of .NET LINQ to Objects for querying arrays and iterables with lazy evaluation.
A Go library implementing Exponentially Weighted Moving Average algorithms for efficient time-series data smoothing.
A Julia package for fitting linear and generalized linear mixed-effects models with maximum likelihood estimation.
Jupyter notebooks implementing algorithms, proofs, and summaries from 'The Elements of Statistical Learning' textbook.
A Julia package for multivariate statistics and data analysis, including dimension reduction techniques like PCA and LDA.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
A Julia package providing comprehensive clustering algorithms and validation metrics for data analysis.
A Clojure library for high-performance Bayesian data analysis and machine learning on the GPU.
A lightweight Julia toolkit for working with time series data, providing efficient data structures and operations.
A Clojure/ClojureScript library for statistical distribution sampling and transducing functions.
A comprehensive Julia package implementing a wide range of statistical hypothesis tests for data analysis.
An R data package providing an excerpt from Gapminder's global development data for teaching and examples.
A lightweight JavaScript library for data analysis with CSV reading, statistical methods, and chart plotting.
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