Bayesian inference with probabilistic programming.

Crafty statistical graphics for Julia.

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Statistical plotting recipes for Plots.jl

Combine ingredients for a plot

Molecular simulation in Julia

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

Tidier data visualization in Julia, modeled after the ggplot2 R package.

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

A Bayesian Analysis Toolkit in Julia

Fast, general-purpose interactive applications for complex systems

Implementations of the models from the Statistical Rethinking book with Turing.jl

Convenience meta-package to load essential packages for statistics

Beautiful and flexible vizualizations of high dimensional data

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Climate science package for Julia

MagNav: airborne Magnetic anomaly Navigation

MADS: Model Analysis & Decision Support

Dive deeper into your data with interactive graphics

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

An abstract interface for plotting libraries, part of the Makie ecosystem.

Stochastic Optimization, Learning, Uncertainty and Sampling

Julia package for the Apache ECharts v4 visualization library

OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.

Simulated Method of Moments for Julia

High level functions for analyzing the output of simulations

Bayesian Generalized Linear models using `@formula` syntax.

Turing + Makie = Turkie

Integrated Assessment Modeling Framework

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

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Analysis of complex surveys

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

Layouting for Makie.jl