0

/ 100

GradeD

Strong community interest, but docs and engineering haven't caught up to the hype.

Higher than 47% of 5,156 graded repos

Algorithms and data structures in Swift, with explanations!

A low grade is a to-do list, not a judgment of your code

Most gaps here are documentation, tests, and setup, not the code itself. Closing your top 3 gaps alone would lift this repo to B (84).

See your top fixes
Now
D
63
Potential
B
84

Top fixes

Highest-impact changes first, ranked by point weight

12 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    CI/CD14pt

    If your CI lives elsewhere (a private repo that builds this one) or this project is itself a CI/CD tool, mark this check Not Applicable. Otherwise add a GitHub Actions workflow that runs tests on each push. It takes 15 minutes and reassures contributors their changes won't break things.

  3. 3
    README12pt

    Show a quick-start snippet so contributors can see what using your project looks like.

  4. 4
    README12pt

    Add CI/build status badges from shields.io or your CI provider to signal project health.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

71

Install and run instructions9pt45

No install instructions found in the README (−45 pts).

Add a section showing how to install dependencies.

Contributing guide5pt72

CONTRIBUTING guide found.

README12pt75

README is present.

License6pt100

Licensed under MIT.

Engineering

52

CI/CD14pt0

No CI configuration detected in this repository.

If your CI lives elsewhere (a private repo that builds this one) or this project is itself a CI/CD tool, mark this check Not Applicable. Otherwise add a GitHub Actions workflow that runs tests on each push. It takes 15 minutes and reassures contributors their changes won't break things.

Reproducibility6pt0

No dependency lockfile found (−70 pts).

Commit Package.resolved for application projects so Swift Package Manager resolves the same versions.

Tests18pt80

Test files detected (A-Star/Tests).

Linting and formatting5pt100

Linter or formatter configured (.swiftlint.yml).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

79

Activity5pt20

No pushes in over a year (−80 pts).

A recent commit signals the project is alive and worth contributing to.

Dependency manifest6pt100

Dependency manifest found (DiningPhilosophers/Package.swift).

Repository metadata5pt100

Repository has a description.

Housekeeping3pt100

.gitignore present.

Repository files120 root entries
  • .github
    Good: CONTRIBUTING guide found.
    Issue: CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Fix: Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
    Good: Issue or PR templates present.
  • 3Sum and 4Sum
  • A-Star
    Good: Test files detected (A-Star/Tests).
  • All-Pairs Shortest Paths
  • Array2D
  • AVL Tree
  • B-Tree
  • Binary Search
  • Binary Search Tree
  • Binary Tree
  • Bit Set
  • Bloom Filter
  • Bounded Priority Queue
  • Boyer-Moore-Horspool
  • Breadth-First Search
  • Brute-Force String Search
  • Bubble Sort
  • Bucket Sort
  • Closest Pair
  • Comb Sort
  • Combinatorics
  • Convex Hull
  • Count Occurrences
  • CounterClockWise
  • Counting Sort
  • Depth-First Search
  • Deque
  • Dijkstra Algorithm
  • DiningPhilosophers
    Good: Licensed under MIT.
    Good: Dependency manifest found (DiningPhilosophers/Package.swift).
  • Egg Drop Problem
  • Encode and Decode Tree
  • Fixed Size Array
  • Fizz Buzz
  • GCD
  • Genetic
  • Graph
  • Hash Set
  • Hash Table
  • Hashed Heap
  • HaversineDistance
  • Heap
  • Heap Sort
  • Huffman Coding
  • Images
  • Insertion Sort
  • Introsort
  • K-Means
  • Karatsuba Multiplication
  • Knuth-Morris-Pratt
  • Kth Largest Element
  • Linear Regression
  • Linear Search
  • Linked List
  • Longest Common Subsequence
  • LRU Cache
  • Merge Sort
  • Miller-Rabin Primality Test
  • Minimum Edit Distance
  • Minimum Spanning Tree
  • Minimum Spanning Tree (Unweighted)
  • MinimumCoinChange
  • Monty Hall Problem
  • Multiset
  • Myers Difference Algorithm
  • Naive Bayes Classifier
  • Octree
  • Ordered Array
  • Ordered Set
  • Palindromes
  • Points Lines Planes
  • Priority Queue
  • QuadTree
  • Queue
  • Quicksort
  • Rabin-Karp
  • Radix Sort
  • Radix Tree
  • Red-Black Tree
  • Ring Buffer
  • Rootish Array Stack
  • Run-Length Encoding
  • Segment Tree
  • Select Minimum Maximum
  • Selection Sampling
  • Selection Sort
  • Set Cover (Unweighted)
  • Shell Sort
  • Shortest Path (Unweighted)
  • Shuffle
  • Shunting Yard
  • Simulated annealing
  • Single-Source Shortest Paths (Weighted)
  • Singly Linked List
  • Skip-List
  • Slow Sort
  • Sorted Set
  • Sparse Table
  • Splay Tree
  • Stack
  • Strassen Matrix Multiplication
  • Ternary Search Tree
  • Threaded Binary Tree
  • Topological Sort
  • Treap
  • Tree
  • Trie
  • Two-Sum Problem
  • Union-Find
  • Z-Algorithm
  • .gitignore
    Good: .gitignore present.
  • .swiftlint.yml
    Good: Linter or formatter configured (.swiftlint.yml).
  • Algorithm Design.markdown
  • Big-O Notation.markdown
  • gfm-render.sh
  • install_swiftlint.sh
  • LICENSE.txt
  • README.markdown
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Issue: README has no code examples (−15 pts).Fix: Show a quick-start snippet so contributors can see what using your project looks like.
    Good: README links to a live demo or deployed app.
    Issue: No status badges in the README (−10 pts).Fix: Add CI/build status badges from shields.io or your CI provider to signal project health.
    Issue: No install instructions found in the README (−45 pts).Fix: Add a section showing how to install dependencies.
    Good: README documents how to run the project.
  • Under Construction.markdown
  • What are Algorithms.markdown
  • Why Algorithms.markdown
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