ChordalGraph is an extension of the Julia package Graphs to handle chordal graphs.

Variety of algorithms for taking the convex hull of 2 dimensional sets of points

An analysis library for ClimaDiagnostics (and, more generally, NetCDF files)

Algorithms for finding a non-overlapping set of cliques in a graph

Dealing with ERA5 Reanalysis datasets

Tree data structures for Fast Multipole Methods and H-Matrices

A package that stores Constraint Programming models for JuliaConstraints solvers

Sparse linear models via deep neural networks

Modular framework for cut pruning algorithms

Implementation of DDA and CEMD method in julia

Cumulants based features selection and outlier detection

Graphical Analysis of Structural Causal Models

Tools for generating and visualizing planar maps

Simplified interface that builds on Julia database packages adhering to DBInterface

Dedispersion algorithms.

Effective parallelism for power flow calculation

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A package for dimensional analysis based on Unitful.jl.

A collection of functions based around Markov chains.

A Julia interface to a distributed task-based workflow management system

Conversions between Distributions.jl distributions and MeasureTheory.jl measures.

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Efficient RAG knowledge pack creator from online Julia documentation

A package that replicates some of the unique visualizations by W. E. B. DuBois

E(3)-equivariant graph neural networks (e3nn) for Julia

Wrapper for Mapbox's earcut.hpp for polygon triangulation

Create any job from Julia functions

Julia bindings for the edlib string alignment library

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Possibly faster alternatives to the priority queue from DataStructures.jl (unmaintained)

Tests for constraint-based metabolic models

An efficient solver for nonlinear constrained feedback Stackelberg games

Compare two files byte by byte

Https://discourse.julialang.org/t/fixyourworkaround-jl-remind-yourself-to-fix-your-workarounds/44694

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A network flow optimization library

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Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

Julia package for visualizing chords on the guitar fretboard.

Nonlinear diffusion problems in Julia