Base functionality library for QuantumOptics.jl

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

Rigorous function approximation using Taylor models in Julia

Flexible and efficient persistent homology computation.

Read R data files from Julia

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

An open source model predictive control package for Julia.

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

Groebner bases in (almost) pure Julia

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

Auto-formatter for Julia

Darcy flow and reservoir simulator based on Jutul.jl

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Atomic graph models for molecules and crystals in Julia

A Julia package for solving multi-objective optimization problems

Model and solve optimal control problems in Julia

Julia package for solving singular integral equations

A package for discrete-time optimal stochastic control

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Conic Augmented Lagrangian Interior-Point SOlver

Choo-choo

Julia Kubernetes Client

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Graph IO functionality for various formats.

MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

Julia backend for Plotly Dash

Automated Bayesian model discovery for time series data

Dithering algorithms in Julia.

Multivariate polynomials implementation of commutative and non-commutative variables

A black-box generator for static websites oriented toward academics and personal web-pages

A gradient-based outer approximation solver for convex mixed-integer nonlinear programming (MINLP)

Macros that simplify working with DataFrames.jl

Import, process and interpret geophysical data sets to be used in numerical models.

Distributed Julia arrays using the MPI protocol

High-level, high-performance, constraint-based reconstruction and analysis in Julia

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Use Optim to train Flux models and visualize loss landscapes