Dependency Packages
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BetaML.jl92Beta Machine Learning Toolkit
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TSFrames.jl92Timeseries in Julia
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Immerse.jl88Dive deeper into your data with interactive graphics
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MRIReco.jl85Julia Package for MRI Reconstruction
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ImageProjectiveGeometry.jl85Projective geometry for computer vision in Julia
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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!
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CalibrateEmulateSample.jl84Stochastic Optimization, Learning, Uncertainty and Sampling
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JuLIP.jl83Julia Library for Interatomic Potentials
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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.
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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!
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EasyModelAnalysis.jl79High level functions for analyzing the output of simulations
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GeneticsMakie.jl77🧬High-performance genetics- and genomics-related data visualization using Makie.jl
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SemanticModels.jl77A julia package for representing and manipulating model semantics
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ParameterizedFunctions.jl77A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
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RecursiveFactorization.jl75-
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Modia3D.jl74Modeling and Simulation of 3D systems
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MultiScaleArrays.jl73A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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ReactionMechanismSimulator.jl72The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
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OpenQuantumTools.jl72Julia toolkit for open quantum system simulation.
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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
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RigidBodySim.jl71Simulation and visualization of articulated rigid body systems in Julia
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IonSim.jl71A simple tool for simulating trapped ion systems
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QuantumCumulants.jl70Generalized mean-field equations in open quantum systems
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DIVAnd.jl70DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
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SpheriCart.jl69Multi-language library for the calculation of spherical harmonics in Cartesian coordinates
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ODINN.jl68Global glacier model using Universal Differential Equations for climate-glacier interactions
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VectorizationBase.jl67Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.
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AccurateArithmetic.jl66Calculate with error-free, faithful, and compensated transforms and extended significands.
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WorldDynamics.jl65An open-source framework written in Julia for global integrated assessment models.
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StockFlow.jl63-
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Groebner.jl63Groebner bases in (almost) pure Julia
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ModelPredictiveControl.jl63An open source model predictive control package for Julia.
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AtomicGraphNets.jl62Atomic graph models for molecules and crystals in Julia
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CellMLToolkit.jl62CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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JutulDarcy.jl62Darcy flow and reservoir simulator based on Jutul.jl
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Conductor.jl61Choo-choo
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DelayDiffEq.jl59Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
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Omniscape.jl58Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.
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RobustAndOptimalControl.jl55Robust and optimal design and analysis of linear control systems
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FMIFlux.jl55FMIFlux.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.
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