High-level model-order reduction to automate the acceleration of large-scale simulations
GitHub repository with 43 stars and 8 forks.
Language: Julia
Topics: differential-equations, hpc, julia, model-order-reduction, partial-differential-equations, scientific-machine-learning, sciml
2026-06-05: 43 stars and 8 forks.
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
GitHub repository with 300 stars and 68 forks.
Trending score: 0.44; stars gained: +1; forks gained: +0.
Language: Julia
Topics: nonlinear-equations, steady-state, equilibrium, deep-equilibrium-models, bracketing, newton-raphson
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
GitHub repository with 659 stars and 265 forks.
Trending score: 0.29; stars gained: +0; forks gained: +0.
Language: Julia
Topics: adaptive, differential-equations, differentialequations, event-handling, hacktoberfest, high-performance
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
GitHub repository with 1,635 stars and 255 forks.
Trending score: 0.26; stars gained: +0; forks gained: +1.
Language: Julia
Topics: differential-equations, ode, dae, ordinary-differential-equations, pde, sde
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODEs (CVODE and ARKODE), and DAEs (IDA)
GitHub repository with 211 stars and 78 forks.
Trending score: 0.24; stars gained: +0; forks gained: +0.
Language: Julia
Topics: julia, sundials, cvode, ida, ode, differential-equations
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
GitHub repository with 427 stars and 58 forks.
Trending score: 0.21; stars gained: +0; forks gained: +0.
Language: Julia
Topics: differential-equations, julia, ode, scientific-machine-learning, sciml
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
GitHub repository with 51 stars and 20 forks.
Trending score: 0.16; stars gained: +0; forks gained: +0.
Language: Julia
Topics: differential-equations, differentialequations, ode, ordinary-differential-equations, second-order-differential-equations, hamiltonian
The Julia Programming Language
GitHub repository with 48,746 stars and 5,783 forks.
Trending score: 1.16; stars gained: +15; forks gained: +0.
Language: Julia
Topics: hacktoberfest, hpc, julia, julia-language, julialang, machine-learning
Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)
GitHub repository with 118 stars and 20 forks.
Trending score: 0.87; stars gained: +4; forks gained: +0.
Language: Julia
Topics: cern-root, julia, particle-physics, hep, high-energy-physics, hacktober
Archetype-based Entity Component System (ECS) for Julia
GitHub repository with 77 stars and 6 forks.
Trending score: 0.59; stars gained: +2; forks gained: +0.
Language: Julia
Topics: ecs, entity-component-system, julia, agent-based-modeling, individual-based-modelling, simulation
A new language server for Julia, enabling modern, compiler-powered tooling.
GitHub repository with 286 stars and 20 forks.
Trending score: 0.49; stars gained: +1; forks gained: +0.
Language: Julia
Topics: jet, julia, language-server, static-analysis, vscode-extension
Configuration files for claude code
GitHub repository with 34 stars and 9 forks.
Trending score: 0.49; stars gained: +2; forks gained: +1.
Language: Julia
Metal programming in Julia
GitHub repository with 451 stars and 62 forks.
Trending score: 0.46; stars gained: +1; forks gained: +1.
Language: Julia
Topics: julia, gpu, mac, metal-framework, apple-gpu, apple-silicon
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
GitHub repository with 300 stars and 68 forks.
Trending score: 0.44; stars gained: +1; forks gained: +0.
Language: Julia
Topics: nonlinear-equations, steady-state, equilibrium, deep-equilibrium-models, bracketing, newton-raphson
V library to develop Artificial Intelligence and High-Performance Scientific Computations
GitHub repository with 396 stars and 49 forks.
Trending score: 0.37; stars gained: +1; forks gained: +0.
Language: V
Topics: v, hacktoberfest, linear-algebra, optimization, sparse-systems, computational-geometry
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
GitHub repository with 659 stars and 265 forks.
Trending score: 0.29; stars gained: +0; forks gained: +0.
Language: Julia
Topics: adaptive, differential-equations, differentialequations, event-handling, hacktoberfest, high-performance
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
GitHub repository with 1,635 stars and 255 forks.
Trending score: 0.26; stars gained: +0; forks gained: +1.
Language: Julia
Topics: differential-equations, ode, dae, ordinary-differential-equations, pde, sde
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODEs (CVODE and ARKODE), and DAEs (IDA)
GitHub repository with 211 stars and 78 forks.
Trending score: 0.24; stars gained: +0; forks gained: +0.
Language: Julia
Topics: julia, sundials, cvode, ida, ode, differential-equations
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
GitHub repository with 427 stars and 58 forks.
Trending score: 0.21; stars gained: +0; forks gained: +0.
Language: Julia
Topics: differential-equations, julia, ode, scientific-machine-learning, sciml