Julia library for stylized terminal output

Black-box optimization for Julia

Statistical plotting recipes for Plots.jl

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Next-generation AD

Density-functional toolkit

Play atmospheric modelling like it's LEGO.

Combine ingredients for a plot

Types with default field values, keyword constructors and (un-)pack macros

Julia library for plotting with plotly.js

Probabilistic programming via source rewriting

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

Print data in formatted tables.

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

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

💨 A breath of fresh air for programming web apps in Julia

Query almost anything in julia

Computational geometry in Julia

Molecular simulation in Julia

A data structure for mathematical optimization problems

A Julia/JuMP Package for Power Network Optimization

Binary Dependency Builder for Julia

"Distributions" that might not add to one.

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

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.

An implementation of the Microsoft Language Server Protocol for the Julia language.

Web-based GUIs for Julia

Makes Julia reason with equations. General purpose metaprogramming, symbolic computation and algebraic equational reasoning library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.

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 fast trajectory optimization library written 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.