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OrdinaryDiffEq.jl

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HEALTH SCORE
Excellent*
Partial score (2/3 categories)
62out of 65

Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.

LIFECYCLE
Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

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Health breakdown

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 0 days.

Bus factor

14 active maintainers currently have merge rights.

Organization Diversity

Contributors span 73 organizations.

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About
OrdinaryDiffEq.jl is a high-performance solver package for ordinary differential equations (ODEs) in Julia. It provides a comprehensive suite of numerical methods for solving various types of ODEs, including stiff and non-stiff problems, with features for automatic algorithm selection and performance optimization.
First commit
Software value
$10M
Tags
adaptive
differential-equations
differentialequations
event-handling
hacktoberfest
high-performance
julia
ode
ordinary-differential-equations
scientific-machine-learning
sciml
License(s)
Other

Data sources

Git Git
GitHub GitHub