StippleCharts is a library of reactive charts for Stipple.jl.

Effortlessly uncover and label thematic insights in large document collections using the power of Large Language Models and Julia Language

A Julia port of Turf.js http://turfjs.org/

Vega-lite front end for the Julia profiler

Simplicial sets and other combinatorial models of geometric spaces

A lightweight SQLite-based Graph Database for Julia.

SpatioTemporal Asset Catalog (STAC) julia client

🟦 JuMP ToQUBO Automatic Reformulation

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Quickly assemble data from the Panel Study of Income Dynamics (PSID)

Sparse matrix class with efficient successive insertion of entries

Geothermal Cloud for Machine Learning

Implementations of algebraic rewriting techniques like DPO, SPO, SqPO.

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

A Julia package for calculating topological numbers

A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

Julia interface to MNE-Python via PythonCall

Julia interface to the Zotero API

Abstraction layer for spanning factor graphs over various technologies

An energy system optimization model that is flexible, computationally efficient, and academically robust.

Functions plot PowerModels networks

Analysis, processing, and simulation of data generated by scientific robots in the Ocean.

Plotly integration for Stipple.jl

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Finite Element Module for Julia that focusses on gradient-robust discretisations and multiphysics problems

Welcome to Peridynamic Laboratory (PeriLab), a powerful software solution designed for tackling Peridynamic problems.

Load/save geospatial data compatible with the GeoStats.jl framework

Meta package for Genie reactive apps

Fetch datasets from GoogleDrive and Kaggle

LeafletJS mapping library from Julia

High performance encoding and decoding of BSON data in Julia

Authentication plugin for Genie framework

Methods to generate matrix representations of power systems matrices

Render LaTeX equations with MathJax offline.

Simulation tools for Mixed Models

A modern, high-performance and comprehensive set of tools for transformations between any standard and user-defined reference frame.

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Simulating Rydberg atom dynamics with Tensor Networks

Let the AI fix your mistakes.

From Semiconductor to TransistorLevel Modeling in Julia