Analysis updated 2026-07-17 · repo last pushed 2015-01-04
Read working Go implementations of sorting and search algorithms to learn how they function.
Prepare for a coding interview by reviewing classic data structure implementations.
Study Go syntax and idioms by reading clean, straightforward algorithm code.
Refresh your memory on how a specific algorithm works without hunting through textbooks.
| rscnt/gorant | anomalroil/1key | danterolle/loqi | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | Go | Go | Go |
| Last pushed | 2015-01-04 | 2019-05-17 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 1/5 | 3/5 | 2/5 |
| Audience | developer | ops devops | developer |
Figures from each repo's GitHub metadata at analysis time.
Meant for reading the code, not importing it as a dependency.
This is a collection of basic algorithms and data structures written in Go, a programming language known for being fast and straightforward. Think of it as a study guide or reference, if you're learning computer science fundamentals or just want to see clean examples of how classic algorithms work, this repository shows you implementations in Go code. The repo doesn't appear to focus on any single problem or use case. Instead, it's a grab bag of foundational computing concepts: things like sorting algorithms, search techniques, or ways to organize data (like linked lists or trees). Each one is written out in Go so you can read the code and understand how it actually works, rather than just learning the theory. This kind of repository is useful if you're teaching yourself Go, preparing for a coding interview, or trying to refresh your memory on how a particular algorithm is supposed to function. Rather than hunting through textbooks or multiple websites, you can come here to see a straightforward, working example. It's the kind of resource developers often build as they're learning a new language or teaching others. The README is minimal, which suggests this is more of a personal learning project or reference than a polished library you'd install and use directly in production. That's fine, the value is in reading and understanding the code itself, not in importing it as a dependency.
A collection of basic algorithms and data structures implemented in Go, useful as a study reference rather than a library to install.
Mainly Go. The stack also includes Go.
Dormant — no commits in 2+ years (last push 2015-01-04).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.