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

A Control Systems Toolbox for Julia

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Julia implementation of QuantEcon routines

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Climate Machine: an Earth System Model that automatically learns from data

Black-box optimization for Julia

Statistical plotting recipes for Plots.jl

Density-functional toolkit

Play atmospheric modelling like it's LEGO.

Combine ingredients for a plot

Probabilistic programming via source rewriting

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

A Julia package for fitting (statistical) mixed-effects models

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

Molecular simulation in Julia

Computational geometry in Julia

Binary Dependency Builder for Julia

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

"Distributions" that might not add to one.

Filter design, periodograms, window functions, and other digital signal processing functionality

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Julia package for text analysis

Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

A Julia package for data clustering

Time series toolkit for Julia

Geometric Deep Learning for Flux

Visualization of Julia profiling data

Probabilistic Programming with Gaussian processes in Julia

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

Surrogate modeling and optimization for scientific machine learning (SciML)

A fast trajectory optimization library written in Julia

Computer vision models for Flux

Modeling and simulation of multidomain engineering systems

Call R from Julia

Simple curve fitting in Julia