Repository Head-to-Head
FluxML/NNlib.jl vs SciML/MinimallyDisruptiveCurves.jl
Objective C-Rank™ telemetry comparison benchmarked across PR merge rates, reviewer latency, maintainer breadth, and newcomer hospitality.
Export & Share•Share head-to-head metrics on GitHub or social media
Should I Contribute? Showdown Verdict
FluxML/NNlib.jl WinsExternal PR Merge Rate
86.7%vs89.3%
Median Review Latency
0.0hvs0.0h
90-Day Bus Factor
7vs2
Verdict computed from external PR merge rate, median review latency, and 90-day bus factor; ties broken by recent commit (PR) velocity. View share card image
JuliaA Tier (69%)
FluxML/NNlib.jl
Neural Network primitives with multiple backends
External PR Merge Rate86.7%
Review Latency (p50)0.0h
90-Day Bus Factor7 Maintainers
Onboarding Readiness0/100
JuliaA Tier (69%)
SciML/MinimallyDisruptiveCurves.jl
Finds relationships between the parameters of a mathematical model
External PR Merge Rate89.3%
Review Latency (p50)0.0h
90-Day Bus Factor2 Maintainers
Onboarding Readiness0/100