Catalyst.jl
by SciML (organization)
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software. (description from the project’s GitHub page)
Repository facts
- Stars
- 531
- Forks
- 83
- Open issues and pull requests
- 116
- Primary language
- Julia
- License
- Other license
- Owner
- SciML · Organization
- Created
- Feb 6, 2017
- Last push
- Oct 17, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 2,483: SciML/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic…
3,167 starsJuliaOther licenseLast push Oct 17, 2026
Rank 4,183: SciML/ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed…
1,694 starsJuliaOther licenseLast push Oct 18, 2026
Rank 7,793: SciML/OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scienti…
693 starsJuliaOther licenseLast push Oct 18, 2026
Rank 8,409: SciML/diffeqpy
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
612 starsPythonMITLast push Oct 17, 2026
Rank 5,286: SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
1,235 starsJuliaOther licenseLast push Oct 17, 2026
Rank 6,399: SciML/DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine lea…
929 starsJuliaMITLast push Oct 18, 2026