Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization
GitHub repository with 8 stars and 20 forks.
Language: Julia
Topics: differential-equations, hairer, julia, radau, rodas, scientific-machine-learning, sciml
2026-06-05: 8 stars and 20 forks.
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: ordinary-differential-equations, differentialequations, ode, event-handling, adaptive, 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 1,634 stars and 255 forks.
Trending score: 0.26; stars gained: +0; forks gained: +1.
Language: Julia
Topics: acausal, computer-algebra, dae, dde, delay-differential-equations, differential-equations
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
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
GitHub repository with 320 stars and 40 forks.
Trending score: 0.05; stars gained: -1; forks gained: +0.
Language: Julia
Topics: gpu, gpu-parallelism, differentialequations, differential-equations, ode, sde
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
GitHub repository with 58 stars and 41 forks.
Trending score: 0.05.
Language: Julia
Topics: differentialequations, differential-equations, bvp, neural-bvp, neural-ode, neural-differential-equations
The Julia Programming Language
GitHub repository with 48,745 stars and 5,783 forks.
Trending score: 1.16; stars gained: +15; forks gained: +0.
Language: Julia
Topics: julia-language, julia, scientific, hpc, numerical, machine-learning
Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)
GitHub repository with 119 stars and 20 forks.
Trending score: 0.87; stars gained: +4; forks gained: +0.
Language: Julia
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
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: ordinary-differential-equations, differentialequations, ode, event-handling, adaptive, 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 1,634 stars and 255 forks.
Trending score: 0.26; stars gained: +0; forks gained: +1.
Language: Julia
Topics: acausal, computer-algebra, dae, dde, delay-differential-equations, differential-equations
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
Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
GitHub repository with 25 stars and 4 forks.
Trending score: 0.09; stars gained: +0; forks gained: +0.
Language: Python
Topics: auto-07p, bifurcation, bifurcation-analysis, bifurcation-detection, differential-equations, dynamical-systems