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A package designed for simulating biological dynamics and control.

Throw stuff

LeafletJS mapping library from Julia

Julia library to visualize molecules and other chemical structures

Graphical tools for Bayesian inference and posterior predictive checks

🌾 declarative crop modeling framework

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General Relativistic Orbital Dynamics in Julia

This package provides semi-analytical solutions to the scattering of time harmonic and static electromagnetic fields from spherical objects.

[wip] Julia bridge to JSXGraph for interactive plots

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

Call Javascript libraries with ease

Julia package for reconstructing fiber trajectories from multi-scale, multi-modal imaging data

Julia package for microstructure imaging

Extensible library for finite element programming

Interactive examples for different geodynamic problems

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Organize Scanning Probe Microscopy (SPM, STM, AFM) Images and Spectra.

Julia dashboard for analysis of cryptocurrency market data

Simple visualization for the RigidBodyDynamics.jl library

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

An easy to use Julia framework for agent based modeling.

Neural Signal Analysis

This package provides functionality to define and evaluate B-spline and NURBS (non-uniform rational B-spline) basis functions, their derivatives, as well as curves and surfaces based on both considered basis functions.

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Notebook integrations for Javis.jl

A julia port of the learning environment Kara

Elastic foundation contact model for rigid body dynamics.

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Interactive widgets to work with tabular data in Julia

A Julia wrapper for the knockoutjs library

Package for the Rigorous Computation of Invariant Measures

Split and recombine your data

🧄 garlic growth simulation model

Graphical User Interface for MAGEMin, which runs in your web-browser.

(Hierarchical) Phylogenetic Models in Julia

TensorNetworkCodes is a Julia library developed to support the following research: https://arxiv.org/abs/2109.11996

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

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