Whether you're new to computational or looking for an upgrade, our curated collection of 213+ iOS apps and games has something for everyone. Each app is reviewed and rated by real users, helping you make an informed decision.
Compare top Computational Apps & Games (July 2026)
Explore fundamental concepts of computational complexity with interactive graphs and live sorting algorithm demonstrations. Developed by academics, this app offers a fun and educational way to visualize algorithmic growth and efficiency.
Transform your Apple Watch Ultra into a comprehensive dive computer for scuba, freediving, and snorkeling. Explore new locations with heatmaps, track your routes, organize underwater media, and share your adventures securely. Plan dives, monitor real-time data, and stay safe with advanced algorithms.
Engage in a simulated hacking experience where you can perform cybercrimes, jailbreak devices, and spread viruses. Upgrade your hideout and customize your character as you progress through humorous storylines and make impactful decisions.
What are the best computational apps & games for iPhone?
Computational Complexity tops our computational apps & games ranking as of July 2026, with a 5.0-star average from 4 App Store ratings, and it's free to download.
Are there free computational apps & games for iPhone?
Yes — 19 of the top computational apps & games we rank are free to download, including Computational Complexity and Scuba Diving Computer Oceanic+.
Does Computational Complexity have ads or in-app purchases?
Computational Complexity has no ads and has no in-app purchases, according to its App Store listing as of July 2026.
How many computational apps & games are on the App Store?
We track 213+ computational apps & games on the iOS App Store as of July 2026, ranked by rating, recency, and analysis of real user reviews.
What is Computational Complexity about?
Computational Complexity demonstrates basic principles of computational complexity. It illustrates the growth of Big-O functions with interactive graphs and provides live demonstrations of sorting algorithms using randomly generated data.
Who developed Computational Complexity?
Computational Complexity was developed at SUNY Binghamton by Prof. Patrick H. Madden, with contributions from students Keith Gardner and Anthony Canino. The source code is publicly available on Github.