# HELLO ~アプリで学べるFlutter~ vs Binomial Probability P(X=k)

The clearest difference is in-app purchases: HELLO ~アプリで学べるFlutter~ at none against Binomial Probability P(X=k)'s 8. HELLO ~アプリで学べるFlutter~ also leads on iOS requirement (11.0 vs 15.0). Binomial Probability P(X=k)'s advantage is device support. On price there is nothing between them.

Both are free to download. Binomial Probability P(X=k) sells 8 one-off in-app purchases. HELLO ~アプリで学べるFlutter~ asks for nothing beyond the download.

## The numbers

| Metric | HELLO ~アプリで学べるFlutter~ | Binomial Probability P(X=k) |
| --- | --- | --- |
| Price | Free | Free |
| In-app purchases | **No** | Yes |
| Ads | — | No |
| Update frequency | — | Every 3 weeks |
| Size | 41 MB | 180 MB |
| Requires iOS | **11.0** | 15.0 |
| Devices | — | **iPhone, iPad, iPod** |
| Age rating | 4+ | 4+ |
| Developer | [Y'S INC. (Shinjuku)](https://appshunter.io/developer/1620476015) | [Glindemann, Sennoun, Langer GbR](https://appshunter.io/developer/1024972809) |

## What reviewers say

### HELLO ~アプリで学べるFlutter~

[App page](https://appshunter.io/ios/app/hello-flutter/id6452500203)

**In-app purchases:** none


### Binomial Probability P(X=k)

[App page](https://appshunter.io/ios/app/binomial-probability-pxk/id6472449007)

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

**In-app purchases (8)**

| Purchase | Price | Billing |
| --- | --- | --- |
| +30 User Tokens | $0.29 | one-time |
| +1 Convenience Token / 6h, max. +2 | $0.59 | one-time |
| +2 Convenience Tokens / 6h, max. +4 | $0.99 | one-time |
| +150 User Tokens | $0.99 | one-time |
| +300 User Tokens | $1.49 | one-time |
| +4 Convenience Tokens / 6h, max. +8 | $1.59 | one-time |
| Lifetime Access | $1.99 | one-time |
| Remove Ads | $1.99 | one-time |


## Frequently asked questions

### Is HELLO ~アプリで学べるFlutter~ free?

HELLO ~アプリで学べるFlutter~ is free to download, with no in-app purchases.

### Is Binomial Probability P(X=k) free?

Binomial Probability P(X=k) is free to download, with in-app purchases available.

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