FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!

Stochastic Optimization, Learning, Uncertainty and Sampling

Julia package to access Twitter API

A CommonMark-compliant Markdown parser for Julia.

Julia package for the Apache ECharts v4 visualization library

Julia Library for Interatomic Potentials

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.

Writing financial contracts in Julia

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Parsing .shp files in Julia

Sampling from intractable distributions, with support for distributed and parallel methods

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Cite Julia packages in your papers the easy way

A Julia interface to the Coin-OR Branch and Cut solver (CBC)

A Julia interface for the SCS conic programming solver

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Spin dynamics and generalization to SU(N) coherent states

Solve Fractional Differential Equations using high performance numerical methods

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

High level functions for analyzing the output of simulations

Fast, scalable and flexible Outlier Detection with Julia

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Supports creating a variety of diagrams through the https://kroki.io service.

A Julia package to solve, simulate, and analyze nonlinear DSGE models.

Simulated Method of Moments for Julia

Compiled parser combinators and regular expressions in pure julia

A Julia interface to the Artelys Knitro solver

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

A julia package for representing and manipulating model semantics

Solid state detector field and charge drift simulation in Julia

Simple least squares and curve fitting functions

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Create WebAssembly with Julia

Provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP

A simple hypergraphs package for the Julia programming language

Preheat your MCMC

Flexible filtering and smoothing in Julia

WIP successor to Soss.jl

Julia package for formulating and analyzing stochastic recourse models.