# kkdai/project52

52 weeks, 52 Go projects

Repository: https://github.com/kkdai/project52
Canonical: https://ross.abutalabs.com/products/project52
License: MIT
License Family: permissive
Last push: 2020-08-11T05:12:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4061, "days_push": 2213, "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 1470, forks 174 (observed 2026-08-28T04:04:49.129805+00:00)

## What it is
A collection of 52 small Go projects written one per week over a year as a personal learning challenge. It serves as example code covering web scrapers, API clients, and algorithm implementations.

## Use cases
- learn Go by reading small example projects
- find sample Go implementations of algorithms like bloom filter or skiplist
- get ideas for weekly coding challenges
- see how to write Go web crawlers and API clients
- study idiomatic Go through many tiny codebases

## When to choose
- you want many small, readable Go examples in one place
- you are designing your own project-a-week learning challenge
- you need reference implementations of classic data structures in Go

## When to avoid
- you need a production-ready library or maintained tool
- you expect documentation, tests, or releases for each subproject
- you need a single cohesive application rather than a grab-bag of demos

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, web-scraping, parser, math, concurrency
- domain: developer-tools, tutorials, programming-languages, crawlers
- platform: go, cross-platform
- tags: golang, learning-challenge, 52-weeks, mini-projects, collection, algorithms

## Member repositories
- kkdai/project52 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.129805+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 2026-08-30T04:34:49.822096+00:00, confidence not recorded.
  - readme: https://github.com/kkdai/project52 (fetched 2026-08-28T04:04:49.129805+00:00, sha 561c49553362)
- Data as of 2026-08-30T08:39:29.467469+00:00.