TheAlgorithms

TheAlgorithms/Go

Go MIT Education

Algorithms and Data Structures implemented in Go for beginners, following best practices.

18.1k stars
2.8k forks
slow
GitHub +9 / week

18.1k

Stars

2.8k

Forks

11

Open issues

30

Contributors

AI Analysis

TheAlgorithms/Go is an educational repository implementing classic algorithms and data structures in Go for beginners, with a focus on interview preparation and best practices. It serves students, job candidates, and developers learning algorithmic concepts, but is not a production runtime or specialized domain tool. The Aho-Corasick string matching implementations shown are illustrative of the breadth of algorithms covered.

Education Library Discovery value: 3/10
Documentation 7/10
Activity 6/10
Community 8/10
Code quality 7/10

Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.

Overall score 7/10

AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.

algorithms data-structures interview-prep educational go
Educational MIT licensed Actively maintained Popular Community favorite Beginner friendly
Deep Analysis · Based on README and public signals
3w ago

TheAlgorithms/Go: A curated Go reference library of classic algorithms for learners

TheAlgorithms/Go is an MIT-licensed educational repository collecting implementations of common algorithms and data structures in Go. It targets students, bootcamp attendees, and developers new to Go who want readable, idiomatic reference code rather than production-grade libraries. It is part of the broader TheAlgorithms organization, which spans Python, Java, JavaScript, Rust, C#, and more. The repository is useful as a study aid and interview preparation resource, not as a dependency for production software.

Origin

Created in August 2016 as part of the multi-language TheAlgorithms GitHub organization. It has grown organically alongside Go's rising popularity as a backend language, mirroring a pattern seen across all org repos.

Growth

Growth appears driven primarily by the visibility of the TheAlgorithms brand and Go's increasing adoption among developers. With 18k stars and low recent weekly gains (~5 stars/week as of mid-2026), the repository has reached a stable plateau typical of established educational reference repos rather than actively trending projects.

In production

Adoption not verified for production use. By design, this is an educational resource and is not intended to be imported as a production dependency. Real-world use is almost certainly limited to learning, code review reference, and interview preparation.

Code analysis
Architecture

Appears to follow a flat, package-per-algorithm structure where each algorithm or data structure lives in its own Go package under a relevant category directory (e.g., math/, strings/). Likely idiomatic Go with exported functions and standard package naming conventions, based on the README's auto-generated godoc-style index.

Tests

CI badge is present and links to GitHub Actions workflow. A Codecov badge is also present, suggesting automated test coverage measurement is in place. Exact coverage percentage is not stated in the README excerpt but the infrastructure for tracking it exists.

Maintenance

Last push was March 30, 2026 — approximately 3 months before the evaluation date. CI is active and badges are current. This indicates the project is maintained at a low-to-moderate cadence, consistent with an educational reference repo that receives occasional algorithm additions and fixes rather than frequent feature development.

Honest verdict

ADOPT IF: you are learning Go fundamentals, studying algorithms for interviews, or need readable reference implementations in idiomatic Go. AVOID IF: you need production-ready, benchmarked, or dependency-safe algorithm libraries — this repo is not designed for import into real software. MONITOR IF: you are a contributor or educator building Go curricula, as the org periodically adds new algorithm categories and improves coverage.

Independent dimensions

Mainstream potential

3/10

Technical importance

4/10

Adoption evidence

2/10

Risks
  • Implementations may prioritize readability over correctness edge cases — no explicit evidence of formal verification or adversarial testing in the README.
  • Not versioned or published as a Go module intended for import; treating it as a dependency would be an anti-pattern.
  • Community contributions vary in quality; some implementations may reflect the contributor's learning curve rather than established best practices.
  • Growth has plateaued at ~5 stars/week, suggesting reduced organic discovery momentum relative to earlier years.
  • The educational value depends on the correctness of implementations, which relies on PR review quality in an open-contribution model — review rigor is not documented.
Prediction

The repo will likely continue as a stable, slowly-growing educational reference, adding algorithms incrementally as Go maintains its relevance in backend and systems development. No significant acceleration in growth is expected.

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Languages

Go
100%
Dockerfile
0%

Information

Language
Go
License
MIT
Last updated
3mo ago
Created
120mo ago
Analyzed with
anthropic/claude-haiku-4-5

Stars over time

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Contributors over time

Top 100 contributors only — repos with more will plateau at 100.

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vs. alternatives
TheAlgorithms/Python

The Python counterpart has 222k stars — roughly 12x more. Python's dominance in education and data science explains the gap. The Go repo serves a narrower but growing developer segment.

TheAlgorithms/Java

Java repo has 65k stars, reflecting Java's long-standing use in CS education. Go's lower academic adoption keeps the Go repo smaller by comparison.

TheAlgorithms/Rust

Rust repo has 25k stars despite Rust being a more niche systems language, suggesting enthusiast communities can outpace Go here. Go's repo at 18k is close behind.

emirpasic/gods

gods is a production-oriented Go data structures library with a stable API meant for import. TheAlgorithms/Go is strictly educational with no versioned releases intended as importable packages.

TheAlgorithms/JavaScript

JS repo has 34k stars, reflecting JavaScript's massive beginner population. Go's lower star count reflects a more experienced, smaller target audience.