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SciML/OrdinaryDiffEq.jl

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

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 (656 stars)
Forks
 (262 forks)
Indexed issues
 (12 indexed issues)
open beginner issues
 (11 open beginner issues)
Latest indexed
Jul 24, 2026
Last GitHub push
May 14, 2026
License
Other
Contributing guide
Contributing guide
Code of conduct
Code of conduct
Dominant language
Julia
PR merge metrics
 (Avg merge 3d 12h) (74 merged PRs in 30d)
Beginner labels
help wantedhacktoberfest

Issues

12 open indexed issues

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Open
DAE initialization default tolerances
DAEeasyhelp wanted

SciML/OrdinaryDiffEq.jl #1,038 opened Feb 18, 2020 · Julia · 656 stars

Why recommendedNo assignee yet · No comments yet
No assignee yetNo comments yetHas a beginner-friendly labelContributing guide available
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Open
More Runge-Kutta-Nyström Methods
easyhelp wantednew-algorithm

SciML/OrdinaryDiffEq.jl #677 opened Feb 28, 2019 · Julia · 656 stars

Why recommendedNo assignee yet · Has a beginner-friendly label
No assignee yetHas a beginner-friendly labelContributing guide available
1 comment0 reactions0 assignees
Open
SDIRK Dense Output
easyhelp wanted

SciML/OrdinaryDiffEq.jl #144 opened Aug 11, 2017 · Julia · 656 stars

Why recommendedNo assignee yet · No comments yet
No assignee yetNo comments yetHas a beginner-friendly labelContributing guide available
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Open
Highly stable symplectic methods
easyhelp wantedlow-prioritynew-algorithm

SciML/OrdinaryDiffEq.jl #82 opened Jul 14, 2017 · Julia · 656 stars

Why recommendedNo assignee yet · Has a beginner-friendly label
No assignee yetHas a beginner-friendly labelContributing guide available
2 comments0 reactions0 assignees