Displaying 1 to 20 from 308 results

Commons Math: The Apache Commons Mathematics Library

  •    Java

Commons Math is a library of lightweight, self-contained mathematics and statistics components addressing the most common problems not available in the Java programming language. it has support for Linear Algebra, Probability Distributions, Numerical Algebra, Statistics, Transform methods, Least Square etc.

stats - A statistics package with common functions that are missing from the Golang standard library

  •    Go

A statistics package with many functions missing from the Golang standard library. See the CHANGELOG.md for API changes and tagged releases you can vendor into your projects.Protip: go get -u github.com/montanaflynn/stats updates stats to the latest version.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

  •    CSharp

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

Statsd - Simple daemon for easy stats aggregation

  •    Javascript

A network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

AnomalyDetection - Anomaly Detection with R

  •    R

AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the presence of seasonality and an underlying trend. The AnomalyDetection package can be used in wide variety of contexts. For example, detecting anomalies in system metrics after a new software release, user engagement post an A/B test, or for problems in econometrics, financial engineering, political and social sciences.

science.js - Scientific and statistical computing in JavaScript.

  •    Javascript

Scientific and statistical computing in JavaScript.

Seaborn - Statistical data visualization using matplotlib

  •    Python

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.Online documentation is available at seaborn.pydata.org. Installation requires numpy, scipy, pandas, and matplotlib. Some functions will optionally use statsmodels if it is installed.

nodejs-dashboard - Telemetry dashboard for node.js apps from the terminal!

  •    Javascript

Determine in realtime what's happening inside your node process from the terminal. No need to instrument code to get the deets. Also splits stderr/stdout to help spot errors sooner.NOTE: This module isn't designed for production use and should be limited to development environments.

turf - A modular geospatial engine written in JavaScript

  •    Javascript

Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js (see below).Download the minified file, and include it in a script tag. This will expose a global variable named turf.

stat-cookbook - :orange_book: The probability and statistics cookbook

  •    TeX

The probability and statistics cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive mathematical reference reduced to its essence, rather than aiming for elaborate explanations. Feel encouraged to extend the cookbook by forking it and submitting pull requests.

R Language - Project for Statistical Computing

  •    C

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

boltons - 🔩 Like builtins, but boltons

  •    Python

boltons should be builtins. Full and extensive docs are available on Read The Docs. See what's new by checking the CHANGELOG.

gamblers-dice - A terrible idea, now real.

  •    Javascript

Normally when rolling a 4 sided die, you would have a 25% chance of rolling any given face, at any time. If you rolled a 4, three times in a row it doesn't make it any less probable of happening the next time. Further, a 1 is not "more likely" because "it hasn't been rolled in a while". This library breaks that standard rule.

hackermath - Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

  •    Jupyter

Math literacy, including proficiency in Linear Algebra and Statistics,is a must for anyone pursuing a career in data science. The goal of this workshop is to introduce some key concepts from these domains that get used repeatedly in data science applications. Our approach is what we call the “Hacker’s way”. Instead of going back to formulae and proofs, we teach the concepts by writing code. And in practical applications. Concepts don’t remain sticky if the usage is never taught. The focus will be on depth rather than breadth. Three areas are chosen - Hypothesis Testing, Supervised Learning and Unsupervised Learning. They will be covered to sufficient depth - 50% of the time will be on the concepts and 50% of the time will be spent coding them.

edward - A probabilistic programming language in TensorFlow

  •    Jupyter

Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on top of TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard.

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

  •    PHP

Using this package you can easily retrieve data from Google Analytics. Most methods will return an \Illuminate\Support\Collection object containing the results.

mlr - mlr: Machine Learning in R

  •    R

Please cite our JMLR paper [bibtex]. Some parts of the package were created as part of other publications. If you use these parts, please cite the relevant work appropriately. An overview of all mlr related publications can be found here.

tokei - A program that allows you to count your code, quickly.

  •    Rust

Tokei is a program that displays statistics about your code. Tokei will show number of files, total lines within those files and code, comments, and blanks grouped by language. Tokei is very fast, check out our comparison document to see how Tokei's speed compares to others.