# SciML/OrdinaryDiffEq.jl

<https://repo.masters-masters.com/en/repos/SciML/OrdinaryDiffEq.jl>

[Home](https://repo.masters-masters.com/en) › [SciML](https://repo.masters-masters.com/en/owners/SciML) › [OrdinaryDiffEq.jl](https://repo.masters-masters.com/en/repos/SciML/OrdinaryDiffEq.jl)

SciML/OrdinaryDiffEq.jl has 697 stars on GitHub. Its RepoMasters card: Alpha tier. High performance ordinary differential equation (ODE) and… Language: Julia.

| Field | Value |
| --- | --- |
| Owner | [SciML](https://repo.masters-masters.com/en/owners/SciML) |
| Stars | 697 |
| Forks | 287 |
| Language | [Julia](https://repo.masters-masters.com/en/languages/julia) |
| License | None |
| Created | 2016 |
| Topics | ordinary-differential-equations, differentialequations, ode, event-handling, adaptive, high-performance, differential-equations, scientific-machine-learning, hacktoberfest, julia |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [SciML/OrdinaryDiffEq.jl](https://github.com/SciML/OrdinaryDiffEq.jl) |

## Repository

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.