Genetic Algorithms vs PubDevLib
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Genetic Algorithms
Explore optimization techniques inspired by natural selection. Design fitness functions, simulate genetic processes with animations, and analyze statistical data. Save and share simulation results.
- Natural selection and heredity mechanisms
- Reproduction, crossing, and mutation operations
- Design fitness function scaling patterns
- Preliminary statistical data analysis
- Visualize genetic processes with animations
- Save and share simulation data
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Genetic algorithms are one of the search and optimisation methods. The aim of optimisation is to increase efficiency in reaching a certain optimal value. Genetic algorithms are based on the mechanisms of natural selection and heredity. The basic genetic algorithm is built from three operations: reproduction, crossing, and mutation. Genetic algorithms operate on populations of coding sequences and use random selection rules to search for the global optimal value. However, these random rules are defined to give the appropriate direction of the search (through various selection mechanisms or scaling of fitness functions). This basic procedure is enhanced by certain genetic manipulations, such as those seen in nature. They include the mechanisms of dominance, diploidy, inversion, and other reconfiguration mechanisms that occur at the chromosome level. Users can design textual or graphical scaling patterns for the fitness function and then use them in simulations. The application also provides a preliminary analysis of statistical data concerning the distribution of the fitness function in the population. The program allows the user to compare non-random procedures (e.g. scaling of fitness functions) by using the same pseudorandom sequence (for procedures requiring randomization, such as selection, etc.) in successive simulations. In order to better visualize the genetic processes taking place during the simulation, some of them are presented to the user using animations. Additionally, some of the data obtained from simulations can be saved and shared.
PubDevLib
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Explore Flutter packages and libraries published on pub.dev with PubDevLib. PubDevLib helps developers discover and review Flutter packages available on pub.dev. Explore package details, understand dependencies, and review compatibility with Flutter and Dart versions through a clear and structured reference. The app provides organized information about Flutter libraries to support developers working with Flutter and Dart projects. Flutter Libraries: • Explore packages published on pub.dev • Discover commonly used Flutter libraries • Review package descriptions and details • Understand library functionality Package Information: • View package versions • Explore dependencies and dev dependencies • Review compatibility with Flutter and Dart versions • Understand package requirements Compatibility Insights: • Review Flutter SDK compatibility • Understand package version requirements • Explore compatibility between libraries Search and Discovery: • Search Flutter packages quickly • Browse libraries by category • Explore packages used in Flutter development Favorites: • Save frequently used libraries • Quickly access important packages Learning Tools: • Quiz mode to test Flutter knowledge • Educational facts about Flutter packages • Structured information for easier exploration Designed for Developers: • Clean and simple interface • Fast navigation through packages • Organized library information Premium Features: • Offline access to package information • Ad-free experience • Improved browsing convenience Privacy Focused: • No unnecessary permissions • No personal data collection • Information remains on your device Who This App Is For: • Flutter developers • Dart developers • Software engineers working with Flutter • Students learning Flutter development PubDevLib helps developers explore Flutter packages, review dependencies, and understand library compatibility. Download PubDevLib to explore packages from pub.dev. LICENSED APPLICATION END USER LICENSE AGREEMENT: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
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Verdict
The clearest difference is in-app purchases: Genetic Algorithms at none against PubDevLib's 2. Genetic Algorithms also leads on ads (none vs shown). PubDevLib's advantage is update cadence (every 3 months vs every 7 months). On price, device support and iOS requirement there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. PubDevLib sells 2 in-app purchases, starting at $1.99 per month. Genetic Algorithms asks for nothing beyond the download.
Genetic Algorithms ships an update every 7 months, PubDevLib every 3 months. The most recent releases landed on October 2, 2026 and September 30, 2026 respectively.
| Parameter | Genetic Algorithms | PubDevLib |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (1 ratings) — better | — |
| Positive reviews | 100.0% of reviews | — |
| Number of ratings | 1 — better | — |
| Update frequency | Every 7 months | Every 3 months — better |
| Ads | No — better | Yes |
| In-app purchases | No — better | Yes |
| Monetization | Free | — |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 12.0 — better | 13.0 |
| Further details — not scored | ||
| Size | 20 MB | 100 MB |
| Age rating | 4+ | 4+ |
| Developer | Ilona Kosinska | Olga Ivanova |
In-app purchases
Genetic Algorithms
No in-app purchases
PubDevLib
- pubdev_by_oliva_subscription$1.991 Month
- pubdev_by_oliva_donation$1.99
Questions
Is Genetic Algorithms free?
Is PubDevLib free?
Do Genetic Algorithms or PubDevLib have ads?
Which is updated more often, Genetic Algorithms or PubDevLib?
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