18 projects
statsmodels
Statsmodels is a Python library for statistical modeling and econometrics that provides classes and functions for estimating various statistical models, conducting statistical tests, and exploring statistical data. It includes linear regression models, time series analysis, discrete choice models, and many other statistical methods.
Contributors
3,404
Organizations
618
Software value
$24M
PyMC
Bayesian Modeling and Probabilistic Programming in Python
Contributors
2,537
Organizations
473
Software value
$3.2M
FastMCP
FastMCP is a Python library that implements the Monte Carlo Permutation test for statistical analysis, providing a fast and efficient way to perform permutation testing
Contributors
1,552
Organizations
316
Software value
$5.9M
Turing.jl
Bayesian inference with probabilistic programming.
Contributors
606
Organizations
156
Software value
$292K
Stan
Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. It provides a probabilistic programming language for specifying statistical models and implements gradient-based Markov Chain Monte Carlo (MCMC) sampling for Bayesian inference.
Contributors
543
Organizations
108
Software value
$3.3M
Stan Math Library
The Stan Math Library is a C++ library providing mathematical functions, probability distributions, automatic differentiation, and optimization algorithms used by the Stan probabilistic programming language. It serves as a foundational component for statistical modeling and Bayesian inference.
Contributors
379
Organizations
81
Software value
$103M
JASP
JASP is a free, open-source statistical software package that provides a user-friendly interface for conducting statistical analyses. It offers a comprehensive suite of statistical methods, from basic descriptive statistics to advanced techniques like Bayesian analysis, with results presented in publication-ready tables and graphs.
Contributors
299
Organizations
20
Software value
$13M
BEAST X
Bayesian Evolutionary Analysis Sampling Trees
Contributors
274
Organizations
28
Software value
$34M
RAVEN (Risk Analysis Virtual Environment)
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Contributors
255
Organizations
9
Software value
$25M
jStat
jStat is a JavaScript library for statistical operations and computations, providing functions for calculating descriptive statistics, probability distributions, hypothesis testing, linear regression, and other statistical analyses
Contributors
242
Organizations
75
Software value
$462K
Patsy
Patsy is a Python library for describing statistical models and building design matrices, particularly for use with linear models, generalized linear models, and other regression models. It provides a powerful formula mini-language similar to R's formulas for specifying models.
Contributors
240
Organizations
82
Software value
$472K
RevBayes
RevBayes is a scientific software package for conducting Bayesian phylogenetic inference and macroevolutionary analysis. It provides a flexible, interactive environment for statistical modeling and analysis of evolutionary processes, allowing researchers to specify and test complex models of biological evolution.
Contributors
196
Organizations
19
Software value
$15M
Tetrad
Tetrad is a software platform for causal modeling and discovery, developed by the Carnegie Mellon University Department of Philosophy. It provides tools for creating, simulating, and analyzing causal models using various algorithms and statistical methods.
Contributors
191
Organizations
15
Software value
$13M
Haskell Statistics
A Haskell library providing a wide range of statistical functions and data analysis capabilities, including probability distributions, statistical tests, and numerical computations
Contributors
157
Organizations
53
Software value
$247K
easystats
easystats is a collection of R packages that provide utilities for statistical analysis, making it easier to compute, interpret, and visualize statistical operations in R. It aims to simplify statistical workflows by providing consistent, intuitive interfaces across multiple statistical packages.
Contributors
91
Organizations
24
Software value
$1.8M
NIMBLE
The base NIMBLE package for R
This project hasn't been onboarded to LFX Insights.