Dependency Packages
-
DynamicAxisWarping.jl98Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds
-
FundamentalsNumericalComputation.jl97Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
-
ViscousFlow.jl97A framework for simulating viscous incompressible flows about arbitrary body shapes.
-
MacroModelling.jl95Macros and functions to work with DSGE models.
-
SummationByPartsOperators.jl94A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.
-
DiffEqCallbacks.jl94A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
-
ModelingToolkitDesigner.jl94A helper tool for visualizing and editing a ModelingToolkit.jl system connections
-
BetaML.jl92Beta Machine Learning Toolkit
-
TSFrames.jl92Timeseries in Julia
-
Immerse.jl88Dive deeper into your data with interactive graphics
-
ValidatedNumerics.jl85Rigorous floating-point calculations with interval arithmetic in Julia
-
ImageProjectiveGeometry.jl85Projective geometry for computer vision in Julia
-
MRIReco.jl85Julia Package for MRI Reconstruction
-
CalibrateEmulateSample.jl84Stochastic Optimization, Learning, Uncertainty and Sampling
-
FMI.jl84FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!
-
JuLIP.jl83Julia Library for Interatomic Potentials
-
OrbitalTrajectories.jl83OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.
-
FractionalDiffEq.jl80Solve Fractional Differential Equations using high performance numerical methods
-
EasyModelAnalysis.jl79High level functions for analyzing the output of simulations
-
ClimaAtmos.jl79ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!
-
GeneticsMakie.jl77🧬High-performance genetics- and genomics-related data visualization using Makie.jl
-
SemanticModels.jl77A julia package for representing and manipulating model semantics
-
ParameterizedFunctions.jl77A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
-
FastBroadcast.jl75-
-
RecursiveFactorization.jl75-
-
Modia3D.jl74Modeling and Simulation of 3D systems
-
MultiScaleArrays.jl73A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
-
ReactionMechanismSimulator.jl72The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
-
OpenQuantumTools.jl72Julia toolkit for open quantum system simulation.
-
Tyler.jl71Makie package to plot maptiles from various map providers
-
RigidBodySim.jl71Simulation and visualization of articulated rigid body systems in Julia
-
HighDimPDE.jl71A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
-
IonSim.jl71A simple tool for simulating trapped ion systems
-
QuantumCumulants.jl70Generalized mean-field equations in open quantum systems
-
DIVAnd.jl70DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
-
SpheriCart.jl69Multi-language library for the calculation of spherical harmonics in Cartesian coordinates
-
ODINN.jl68Global glacier model using Universal Differential Equations for climate-glacier interactions
-
VectorizationBase.jl67Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.
-
AccurateArithmetic.jl66Calculate with error-free, faithful, and compensated transforms and extended significands.
-
SciMLExpectations.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Loading more...