# exercism/go

Exercism exercises in Go.

Repository: https://github.com/exercism/go
Canonical: https://ross.abutalabs.com/products/exercism-go
Homepage: https://exercism.org/tracks/go
Language: Go
License: MIT
License Family: permissive
Topics: exercism-track, community-contributions-paused, maintained-autonomous
Last push: 2026-08-14T07:18:58+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 4569, "days_push": 19, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1183, forks 687 (observed 2026-08-28T04:03:54.472494+00:00)

## What it is
The Exercism Go track, a collection of coding exercises for learning and practicing the Go programming language on the Exercism platform. It contains exercise implementations, tests, and configuration maintained autonomously by the Exercism team.

## Use cases
- learn go programming
- practice go exercises
- go coding practice problems
- improve go skills with katas
- find go exercises for beginners
- prepare for go interviews with practice

## When to choose
- you want structured, mentored Go practice exercises
- you are learning Go from scratch or sharpening fundamentals
- you prefer test-driven exercise workflows

## When to avoid
- you need a production Go library or framework
- you want to contribute exercises, since community contributions are paused
- you need an interactive course with video lessons

## Facets
- artifact type: learning-resource
- maturity: active
- function: testing, developer-tools
- domain: education, programming-languages, tutorials
- platform: go, cross-platform
- tags: exercism, go, exercises, practice-problems, learning-track

## Member repositories
- exercism/go (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:54.472494+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:24:33.470739+00:00, confidence not recorded.
  - readme: https://github.com/exercism/go (fetched 2026-08-28T04:03:54.472494+00:00, sha 05f95c657deb)
- Data as of 2026-08-30T08:39:29.467469+00:00.