CLUSTER ALGORITHMS-INTERACTIVE-WEB · 38 ENTRIES · EARLIEST ENTRY 2025-04-09

Algorithm visualization educational tools

Interactive web apps that visualize algorithms, data structures, and sorting processes for computer science education, often featuring step-by-step animations and coding exercises. The cluster's dated history runs from March 2025 to June 2026 with a sporadic entry pattern—most months have a single entry, with three in April 2025 and two in June 2026—so no definitive growth shape is visible. DSA-Original leads traction with three stars on its repository, while the next most active members (CodeRecall, cyber-algo-viz) have none.

Entry timeline

ENTRY TIMELINE

APR 2025: 2OCT 2025: 1JAN 2026: 1FEB 2026: 1APR 2026: 1JUN 2026: 1AUG 2026: 18SEP 2026: 11OCT 2026: 2
APR 2025OCT 2026

Members by activity

Activity signals, not revenue.

Build origin · 3 ai-built · 2 hand-coded · 15 unlabelled

Operator · 11 hobby · 1 open source · 8 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 20 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01AHGS_NOVA3★10 days—hobbyWeb dashboard for an automated heuristic generation platform that visualizes evolution runs, submissions, and performance comparisons for algorithm developers.
  2. 02DSA-Original3★1 mo—hobbyInteractive web platform with lab simulations that helps students visualize and understand data structures and algorithms concepts.
  3. 03CodeRecall0★29 daysliveWeb app that helps users learn data structures and algorithms through interactive lessons.
  4. 04algorithm-quiz-lab0★18 days—Web app that quizzes users on algorithms and data structures to help them practice.
  5. 05Interactive-Convex-Hull-Visualizer0★9 days—hand-codedhobbyWeb app that visualizes the convex hull algorithm step by step as users place points.
  6. 06cpu-visualizer0★1 day—Web app that visualizes CPU scheduling algorithms to help students understand operating systems.
  7. 07PacketFlow0★19 days—hobbyInteractive web app that visualizes line encoding techniques, explores communication theory, and calculates channel capacity for students.
  8. 08goodalgo0★14 days—ai-builthobbyInteractive web app that demonstrates sorting algorithms, allowing users to test and reuse implementations.
  9. 09NerdCode0★1 mo—hobbyWeb app that teaches data structures and algorithms through real-world systems with coding challenges, hints, and browser-run tests.
  10. 10PatternForge0★25 days—Web app that teaches data structure and algorithm patterns by curating LeetCode problems and tracking user progress.
  11. 11DSA0★22 days—Web app that tracks data structure and algorithm problems, letting users mark progress and view statistics.
  12. 12clubb0★1 mo—hobbyLocal web app that visualizes algorithms and lets users solve coding problems with speed rankings on a shared leaderboard.
  13. 13modulo-world-frontend0★29 days—hand-codedhobbyInteractive web app with games that teach algorithms and computer science concepts to learners.
  14. 14cyber-algo-viz0★1 mo—Tool for visualizing algorithms to aid learning and understanding.
  15. 15dsa_visualizer0★1 mo—hobbyInteractive learning tool that visualizes data structures and algorithms to aid comprehension for computer science students.
  16. 16sorting-visualizer3★4 moliveai-builthobbyVisualizes five sorting algorithms step-by-step with live pointers, sound, race mode, and a tiered quiz for learning.
  17. 17Algovisual1★1 mo—An interactive web app that visualizes algorithms step-by-step with animations, complexity badges, and an interview preparation planner.
  18. 18Algorithm-Visualizer0★1 moliveInteractive web app that visualizes algorithm execution step-by-step with highlighting and complexity plots for computer science students.
  19. 19algoviz-studio2★9 mostaleliveai-builthobbyInteractive web app that visualizes data structures and algorithms to help students understand step-by-step behavior.
  20. 20Visu0★5 moliveopen sourceInteractive visualization tool that animates step-by-step execution of pseudocode across arrays, stacks, queues, linked lists, and graphs for learners.