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)

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

An open source model predictive control package for Julia.

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

A Julia package for solving multi-objective optimization problems

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

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

Darcy flow and reservoir simulator based on Jutul.jl

Julia package for solving singular integral equations

Atomic graph models for molecules and crystals in Julia

A General Approach to Seismic Inversion Problems using Automatic Differentiation

A package for discrete-time optimal stochastic control

A tool for package developers for working with artifacts.

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

Conic Augmented Lagrangian Interior-Point SOlver

Parse and process FASTA and FASTQ formatted files of biological sequences.

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

Julia Kubernetes Client

Choo-choo

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

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

Julia backend for Plotly Dash

A manic web-development framework

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

Automated Bayesian model discovery for time series data

Sequence alignment tools

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

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

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.

Compositional data analysis in Julia

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Use Optim to train Flux models and visualize loss landscapes

Nonlinear optical pulse propagator

Graph data structures with multiple heterogeneous metadata for Graphs.jl.

Julia framework for spatial ecology - data types and utilities