geekxh/hello-algorithm

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about 6 years
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Reliability breakdown

What drives the reliability score

Component scores measured daily from GitHub activity (2026-07-15).

Continuity30% of headline4

Activity on 0 of 90 tracked days in the last 90 and 0 of 30 in the last 30.

Closure30% of headline0

Merged 0 of 0 PRs opened and closed 0 of 0 issues opened over the last 90 tracked days — PR flow carries 55% of this component, issue flow 45%.

Shipping20% of headline0

0 releases in the last 180 days, 0 in the last 90 and 0 in the last 30 — a steady cadence scores highest.

Liveness10% of headline0

Last push 1133 days ago — freshness decays as pushes age (roughly halves every 83 days without a push).

Support burden10% of headline99

Open-issue load isn't tracked for this repo yet.

Adoption confidence2

Modeled — how confidently teams are adopting this repo. Stargazers

Maintenance quality13

Modeled from PR/issue responsiveness and upkeep signals. Activity pulse

Risk score70

Modeled — lower is better; adoption and continuity risk. Repository

Stays active (30d)0%

Modeled chance the repo stays active over 30 days. Activity pulse

Stays active (90d)4%

Modeled chance the repo stays active over 90 days. Activity pulse

Release rhythm (180d)0

Regularity of releases over the last 180 days. Releases

Maintainer bus risk (90d)91%

Modeled — lower is better; concentration of commits in few maintainers. Contributors graph

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