sagivo/algorithms resource
algorithms playground for common questions observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4315
- days_rel: n/a
- days_push: 1476
- n_releases_24m: 0
Adoption not part of the score
3244 stars · 352 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Ruby-based collection of solutions to common algorithm and data structure interview questions, sourced from LeetCode-style problems. It includes interview tips from major tech companies like Google, Facebook, and LinkedIn.
Use cases
- prepare for coding interviews at tech companies
- study common algorithm problems with Ruby solutions
- practice dynamic programming and data structure questions
- review interview tips from Google and Facebook
- learn algorithms through worked examples
When to choose
- you are preparing for technical interviews and want reference solutions
- you prefer learning algorithms in Ruby syntax
- you want curated solutions to classic LeetCode-style problems
When to avoid
- you need a production-ready algorithm library for your application
- you work in a language other than Ruby
- you need comprehensive coverage of advanced algorithms beyond interview staples
Facets
learning-resource · maturity maintenance
developer-tools education programming-languages ruby interview-preparation leetcode data-structures computer-science ruby-examples algorithms
1 source
- readme: https://github.com/sagivo/algorithms · fetched 2026-08-28 · 211f8b64c078
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sagivo/algorithms | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="sagivo/algorithms")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem