# AlgoCards vs Vikha

The clearest difference is ads: Vikha at none against AlgoCards's shown. AlgoCards's advantage is iOS requirement (15.6 vs 26.0). On price, in-app purchases and device support there is nothing between them.

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | AlgoCards | Vikha |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[5.0 (1 ratings)](https://appshunter.io/ios/app/algocards-code-interview-prep/id6754247227/reviews)** | — |
| Number of ratings | **1** | — |
| In-app purchases | No | No |
| Ads | Yes | **No** |
| Update frequency | Every 9 days | — |
| Monetization | Free | — |
| Size | 61 MB | 2 MB |
| Requires iOS | **15.6** | 26.0 |
| Devices | **iPhone, iPad, iPod** | iPhone, iPad |
| Age rating | 4+ | 4+ |
| Developer | [Ryan Hamby](https://appshunter.io/developer/1847365372) | [Rostyslav Khaniukov](https://appshunter.io/developer/1896766608) |

## What reviewers say

### AlgoCards

[App page](https://appshunter.io/ios/app/algocards-code-interview-prep/id6754247227)

Master coding interviews with a vast collection of algorithm problems and company-specific preparation lists. Utilize spaced repetition and flashcard modes for efficient on-the-go review and weakness detection.

**Highlights:** 390 curated problems with Python solutions, Company-specific problem lists, Spaced repetition review system, Flashcard mode for on-the-go study, Algorithm pattern cheat sheets, Weakness detection and adaptation

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


### Vikha

[App page](https://appshunter.io/ios/app/vikha/id6770899912)

**Features:** macOS Compatibility

**In-app purchases:** none


## Frequently asked questions

### Is AlgoCards free?

AlgoCards is free to download, with no in-app purchases.

### Is Vikha free?

Vikha is free to download, with no in-app purchases.

### Do AlgoCards or Vikha have ads?

AlgoCards shows ads; Vikha does not.

---

*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*
