Flexible and efficient persistent homology computation.

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

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

Atomic graph models for molecules and crystals in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Model and solve optimal control problems in Julia

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

Choo-choo

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

Conic Augmented Lagrangian Interior-Point SOlver

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

Macros that simplify working with DataFrames.jl

Distributed Julia arrays using the MPI protocol

Automated Bayesian model discovery for time series data

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

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Use Optim to train Flux models and visualize loss landscapes

Compositional data analysis 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.

Julia wrapper for the performance monitoring and benchmarking suite LIKWID.

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

A high functioning package detective.

ExcelReaders is a package that provides functionality to read Excel files.

Nonlinear optical pulse propagator

Julia framework for spatial ecology - data types and utilities

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

Tools for mapping between Julia structs and 2D tabular data.

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Algorithmic trading and backtesting framework in pure julia

A useful tool on the road to reality. Read the documentation on the website.

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Distributed Data Parallel Training of Deep Neural Networks

Plotting and interface tools for biology.

Robust and optimal design and analysis of linear control systems

Discrete event generation and simulation in Julia

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Segment-anything wrapped for Julia

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Differentiable trajectory optimization in Julia.

Flexible Image Transport System (FITS) file support for Julia