Repository Head-to-Head
ReactiveBayes/ReactiveMP.jl vs SciML/MinimallyDisruptiveCurves.jl
Objective C-Rank™ telemetry comparison benchmarked across PR merge rates, reviewer latency, maintainer breadth, and newcomer hospitality.
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Should I Contribute? Showdown Verdict
ReactiveBayes/ReactiveMP.jl WinsExternal PR Merge Rate
92.9%vs89.3%
Median Review Latency
0.0hvs0.0h
90-Day Bus Factor
2vs2
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
JuliaS Tier (71%)
ReactiveBayes/ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
External PR Merge Rate92.9%
Review Latency (p50)0.0h
90-Day Bus Factor2 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