Dependency Packages
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Karnak.jl69Graph plotting and drawing networks with Julia, using Luxor graphics
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SixelTerm.jl69Inline graphics in the REPL using Sixel
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TaylorDiff.jl68Taylor-mode automatic differentiation for higher-order derivatives
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ODINN.jl68Global glacier model using Universal Differential Equations for climate-glacier interactions
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Turkie.jl68Turing + Makie = Turkie
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QRCoders.jl68Creating QR Codes within Julia
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Onda.jl67A Julia package for high-throughput manipulation of structured signal data across arbitrary domain-specific encodings, file formats and storage layers
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Nabla.jl67A operator overloading, tape-based, reverse-mode AD
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MLJTuning.jl67Hyperparameter optimization algorithms for use in the MLJ machine learning framework
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SQLREPL.jl66A Julia REPL mode for SQL
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ToeplitzMatrices.jl66Fast matrix multiplication and division for Toeplitz matrices in Julia
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Mimi.jl66Integrated Assessment Modeling Framework
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AlgebraicDynamics.jl65Building dynamical systems compositionally
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PETLION.jl65High-performance simulations of the Porous Electrode Theory for Li-ion batteries
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SciMLExpectations.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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WorldDynamics.jl65An open-source framework written in Julia for global integrated assessment models.
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DiffEqUncertainty.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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QuantumOpticsBase.jl64Base functionality library for QuantumOptics.jl
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ChemometricsTools.jl64A collection of tools for chemometrics and machine learning written in Julia.
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ChainPlots.jl64Visualization for Flux.Chain neural networks
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RoME.jl64Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.
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GaussianRandomFields.jl64A package for Gaussian random field generation in Julia
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ModelPredictiveControl.jl63An open source model predictive control package for Julia.
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DiffEqNoiseProcess.jl63A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
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TaylorModels.jl63Rigorous function approximation using Taylor models in Julia
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SimpleNonlinearSolve.jl63Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
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RData.jl63Read R data files from Julia
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SingularSpectrumAnalysis.jl63A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition
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Ripserer.jl63Flexible and efficient persistent homology computation.
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StockFlow.jl63-
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CellMLToolkit.jl62CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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SingularIntegralEquations.jl62Julia package for solving singular integral equations
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JutulDarcy.jl62Darcy flow and reservoir simulator based on Jutul.jl
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FredData.jl62Pull data from Federal Reserve Economic Data (FRED) directly into Julia
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AtomicGraphNets.jl62Atomic graph models for molecules and crystals in Julia
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Conductor.jl61Choo-choo
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Kuber.jl61Julia Kubernetes Client
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MultiJuMP.jl61MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.
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CALIPSO.jl61Conic Augmented Lagrangian Interior-Point SOlver
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DiffEqParamEstim.jl61Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
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