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sagivo/algorithms

algorithms playground for common questions

Mixed

Stale — last commit 4y ago

MixedDependency

last commit was 4y ago; test evidence incomplete…

MixedFork & modify

test evidence incomplete; CI evidence incomplete…

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

last commit was 4y ago; CI evidence incomplete…

  • Stale — last commit 4y ago
  • Concentrated ownership — top contributor handles 69% of recent commits
  • 10 active contributors

What would improve this?

  • Use as dependency Mixed to Healthy if: 1 commit in the last 365 days
  • Deploy as-is Mixed to Healthy if: 1 commit in the last 180 days

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: sagivo/algorithms

Generated by RepoPilot · document generated 2026-09-15 · concise human review Evidence snapshot · analyzed 2026-09-15T00:38:44.114Z · commit 34366cfad89f

Verdict

Mixed — Stale — last commit 4y ago

  • 10 active contributors

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

What it is

A Ruby-based algorithms reference playground containing 60+ implementations of classic interview coding problems and data structures (sorting, dynamic programming, graph algorithms, tree traversal, string manipulation). It serves as a study guide for technical interview preparation, not a production library—each file is a self-contained solution demonstrating both the algorithm and common coding patterns in Ruby syntax. Flat structure with 60+ standalone algorithm files organized in two locations: root-level files (decode_ways.rb, move_zeroes.rb) and majority in src/ folder (src/merge_sort.rb, src/binary_search.rb, src/house-robber.rb, etc.). Each file is independent—no shared utilities,…

Start here

Open these first:

  • README.md — Entry point documenting the repo's purpose as an algorithms playground for interview prep with links to company-specific…
  • src/binary_search.rb — Foundational searching algorithm used as a building block in many advanced problems (e.g.,…
  • src/merge_sort.rb — Core sorting algorithm that demonstrates proper divide-and-conquer pattern replicated across other solutions.
  • src/longest_increasing_subsequence_nlogn.rb — Demonstrates optimized dynamic programming combined with binary search; represents the high-complexity solutions in this…
  • src/google-interview-tips.md — Interview preparation guidance from actual Google interview experience; anchors the repo's purpose for job seekers.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

git clone https://github.com/sagivo/algorithms.git && cd algorithms && ruby src/binary_search.rb (No installation needed; Ruby stdlib only—no Gemfile or dependencies)

Daily commands:

ruby src/<algorithm_name>.rb (e.g., ruby src/binary_search.rb). Each file is self-contained and executable. No test runner, dev server, or build step.

Key cautions & unknowns

  • Stale — last commit 4y ago
  • Concentrated ownership — top contributor handles 69% of recent commits
  • No hidden traps—this is a read-reference repo with no runtime dependencies, config files, or services. No environment variables needed. Watch out for: some files may have subtle algorithm bugs (no tests to catch them),…
  • License evidence is incomplete or ambiguous.
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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