TheAlgorithms/Go resource
Algorithms and Data Structures implemented in Go for beginners, following best practices. observed · 2026-08-28
Health v2 · maintenance only
66/100
- Activity 95
- Release rhythm 8
- Longevity 100
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: 3665
- days_rel: n/a
- days_push: 30
- n_releases_24m: 0
Adoption not part of the score
18200 stars · 2823 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A community-driven collection of algorithms and data structures implemented in Go for educational purposes. It serves as a reference for learning algorithm implementations following Go best practices.
Use cases
- learn algorithms in Go
- prepare for coding interviews
- study data structures with example code
- find reference implementations of sorting and searching algorithms
- contribute to an open-source algorithms project
When to choose
- you are learning Go and want idiomatic algorithm examples
- you need readable reference implementations for study or teaching
- you are preparing for technical interviews
When to avoid
- you need production-grade, performance-optimized algorithm libraries
- you want a maintained package with stability guarantees for production use
Facets
learning-resource · maturity active
developer-tools education tutorials go algorithms data-structures interview-preparation sorting searching educational
1 source
- readme: https://github.com/TheAlgorithms/Go · fetched 2026-08-28 · 8940ecc66c6f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| TheAlgorithms/Go | main | 66 |
For agents
markdown · JSON · MCP: product_card(name="TheAlgorithms/Go")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem