ericdrowell/BigOCheatSheet resource
None 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: 4913
- days_rel: n/a
- days_push: 723
- n_releases_24m: 0
Adoption not part of the score
1103 stars · 315 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
The source for bigocheatsheet.com, a well-known reference site charting time and space complexity of common data structures and sorting algorithms. It presents Big-O complexity tables as a static HTML page for quick lookup.
Use cases
- look up time complexity of sorting algorithms
- compare data structure operation costs
- study for coding interviews
- reference Big-O notation while learning algorithms
- find average vs worst-case complexity of data structures
When to choose
- you need a quick visual reference for algorithm and data structure complexity
- you are preparing for technical interviews or studying computer science fundamentals
When to avoid
- you need an interactive complexity calculator or analysis tool
- you want executable code or a library rather than a reference chart
Facets
learning-resource · maturity maintenance
documentation developer-tools tutorials education browser big-o-notation complexity-analysis cheat-sheet data-structures reference-card algorithms computer-science web-server
1 source
- readme: https://github.com/ericdrowell/BigOCheatSheet · fetched 2026-08-28 · c32167832acc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ericdrowell/BigOCheatSheet | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="ericdrowell/BigOCheatSheet")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem