# shekhargulati/99-problems

This is an adaptation of the Ninety-Nine Prolog Problems written by Werner Hett.

Repository: https://github.com/shekhargulati/99-problems
Canonical: https://ross.abutalabs.com/products/99-problems
Homepage: https://shekhargulati.com/
Language: Java
License: MIT
License Family: permissive
Last push: 2020-10-30T07:19:57+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": 3937, "days_push": 2133, "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 3282, forks 895 (observed 2026-08-28T04:07:53.634487+00:00)

## What it is
An adaptation of Werner Hett's Ninety-Nine Prolog Problems implemented in Java 8, Scala, and Haskell. It is a collection of graded programming exercises for practicing logic and functional programming skills.

## Use cases
- practice functional programming exercises
- find coding katas to sharpen algorithm skills
- learn Scala by solving problems
- learn Haskell through exercises
- practice Java 8 streams and lambdas
- prepare for programming interviews with problem sets

## When to choose
- you want graded difficulty exercises in Java, Scala, or Haskell
- you prefer learning by solving classic problem collections
- you want a free MIT-licensed exercise set

## When to avoid
- you need a production library or tool
- you want interactive auto-graded exercises
- you work in languages other than Java, Scala, or Haskell

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: tutorials, programming-languages, education
- platform: jvm, cross-platform
- tags: kata, exercises, java8, scala, haskell, prolog-problems, practice-problems, algorithms

## Member repositories
- shekhargulati/99-problems (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.634487+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 2026-08-29T18:43:19.006667+00:00, confidence not recorded.
  - readme: https://github.com/shekhargulati/99-problems (fetched 2026-08-28T04:07:53.634487+00:00, sha cee3be30f737)
- Data as of 2026-08-30T08:39:29.467469+00:00.