Distributed table structures and data manipulation operations built on top of Dagger.jl

A modern OpenGL 4.6 rendering framework, written in Julia.

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Simulation and visualization of articulated rigid body systems in Julia

Bayesian Generalized Linear models using `@formula` syntax.

A simple tool for simulating trapped ion systems

Makie package to plot maptiles from various map providers

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Generalized mean-field equations in open quantum systems

Inline graphics in the REPL using Sixel

Creating QR Codes within Julia

Global glacier model using Universal Differential Equations for climate-glacier interactions

Turing + Makie = Turkie

Taylor-mode automatic differentiation for higher-order derivatives

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

A Julia REPL mode for SQL

Integrated Assessment Modeling Framework

Fast matrix multiplication and division for Toeplitz matrices in Julia

Julia package for converting Julia calculations into rendered latex.

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

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

An open-source framework written in Julia for global integrated assessment models.

Building dynamical systems compositionally

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

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

A package for Gaussian random field generation in Julia

Base functionality library for QuantumOptics.jl

A collection of tools for chemometrics and machine learning written in Julia.

Visualization for Flux.Chain neural networks

An open source model predictive control package for Julia.

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Read R data files from Julia

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition

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Rigorous function approximation using Taylor models in Julia

Flexible and efficient persistent homology computation.

Atomic graph models for molecules and crystals in Julia

Pull data from Federal Reserve Economic Data (FRED) directly into Julia

Julia package for solving singular integral equations