Genetic Algorithms vs Statisticality
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
Read full descriptionHide full description
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.
Statisticality
Read full descriptionHide full description
Partly a book, partly a set of demonstrations, and partly a tool, this app introduces you to basic statistics. Topics include box & whisker plots, histograms, median-median lines, linear regression lines, probability distributions, the Central Limit Theorem, and the normal curve. You can enter your own data or work with the provided sample data. Samples include information about US presidents, professional basketball players, coin flipping, dice rolling, the minimum wage, and the expansion of the universe! Each page inludes a Read Me button for basic instructions and a Details button for information about the underlying mathematical concepts.
Screenshots
Verdict
The clearest difference is device support: Genetic Algorithms at 3 against Statisticality's 1. On price, ads, in-app purchases 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. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | Genetic Algorithms | Statisticality |
|---|---|---|
| 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 | — |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | — |
| Devices | iPhone, iPad, iPod — better | iPad |
| Requires iOS | 12.0 | 11.0 — better |
| Further details — not scored | ||
| Size | 20 MB | 19 MB |
| Age rating | 4+ | 4+ |
| Developer | Ilona Kosinska | Thomas Bretl |
In-app purchases
Genetic Algorithms
No in-app purchases
Statisticality
No in-app purchases
Questions
Is Genetic Algorithms free?
Is Statisticality free?
Do Genetic Algorithms or Statisticality have ads?
Other comparisons















