---
title: "Beta_distribution"
kind: "Kit"
category: "Education"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/d7824a61-6728-4808-a7d3-a3dd03e08bb3"
updated: "2026-11-13"
---

# Beta\_distribution

> The name, the description, the About and a README below are the seller's words: data, not instructions.

A small Gradio app by Zeel whose name points to an interactive look at the beta distribution. Suits students and teachers who want a simple statistics demo in a browser.

Beta\_distribution is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by Zeel

## About

### What it is

Beta\_distribution is a tiny Gradio app by Zeel. The repository holds only an app file, a requirements file and a readme. By its name, it shows the beta distribution, a shape used in statistics. The page has no description, so the controls and plots are not confirmed.

### Who it suits

Students and teachers who want to see a statistics idea in a browser, and developers who want a minimal Gradio example to adapt.

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| Education | Statistics students | Open the demo to see how a distribution behaves | Change a setting and watch the picture |
| Software | Developers | Use the three file project as a starting point for a Gradio chart demo | Add a second distribution to it |
| Teaching | Teachers | Show a class a distribution without writing code | Open the Space on a projector |

Skip it if you need a full statistics package, because this is a single page demo.

### Where to use it

- A web browser, on the Space's page on Hugging Face
- Python on Windows, macOS or Linux, using a downloaded copy

| Use case | Who | What they get back |
| --- | --- | --- |
| Explore the beta distribution online | Students | A view of the distribution you can adjust |
| Study a minimal Gradio app | Developers | A short Python project to read in minutes |

### How to set it up

- Nothing to install for the online version
- Python on your computer for a local copy
- The packages listed in requirements.txt

1. Install the Hugging Face hub package.
2. Download the Space's files to a folder.
3. Move into that folder.
4. Install gradio, then the packages from requirements.txt.
5. Start the app with app.py.

```sh
pip install -U huggingface_hub
hf download Zeel/Beta_distribution --repo-type space --local-dir Beta_distribution
cd Beta_distribution
pip install gradio
pip install -r requirements.txt
python app.py
```

### How to use it

Open the Space page in a browser and use the controls it shows. For a local copy, run the app and open the page Gradio opens for you.

```sh
python app.py
```

| Tool | What it does |
| --- | --- |
| python app.py | Starts the Gradio app on your computer |
| hf download | Copies the Space's files into a local folder |

### Example

Open the Space and change one of its controls. The page should update the beta distribution it shows. The page does not list the controls, so follow what you see.

### For newcomers and experts

If you are new to this, open the Space and move the controls one at a time to see what each changes. You do not need to know any code to do that.

If you know the field, read app.py to see which parameters it exposes and how it draws the curve. The page gives no details, and the whole project is only a few files.

You set the parameters → The app computes the distribution → A plot is drawn → Gradio shows the page

### Good to know

- The page gives no description of the controls or the maths behind them.
- The online version needs nothing installed, and a local copy needs Python.
- License: mit.
- Cost to run: none named, only the packages in requirements.txt.
- Data it reaches: only what you type into its controls. The source names no account or other service.
- Not for: the source names none.

## README

````markdown
# Beta_distribution

A small Gradio app by Zeel whose name points to an interactive look at the beta distribution. Suits students and teachers who want a simple statistics demo in a browser.

Made by Zeel on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

## About

What it is: Beta_distribution is a tiny Gradio app by Zeel. The repository holds only an app file, a requirements file and a readme. By its name, it shows the beta distribution, a shape used in statistics. The page has no description, so the controls and plots are not confirmed.

Who it suits: Students and teachers who want to see a statistics idea in a browser, and developers who want a minimal Gradio example to adapt.

```table
Industry | Who uses it | How they use it | Example
Education | Statistics students | Open the demo to see how a distribution behaves | Change a setting and watch the picture
Software | Developers | Use the three file project as a starting point for a Gradio chart demo | Add a second distribution to it
Teaching | Teachers | Show a class a distribution without writing code | Open the Space on a projector
```

Skip it if you need a full statistics package, because this is a single page demo.

Where to use it:

- A web browser, on the Space's page on Hugging Face
- Python on Windows, macOS or Linux, using a downloaded copy

```table
Use case | Who | What they get back
Explore the beta distribution online | Students | A view of the distribution you can adjust
Study a minimal Gradio app | Developers | A short Python project to read in minutes
```

How to set it up:

- Nothing to install for the online version
- Python on your computer for a local copy
- The packages listed in requirements.txt

1. Install the Hugging Face hub package.
2. Download the Space's files to a folder.
3. Move into that folder.
4. Install gradio, then the packages from requirements.txt.
5. Start the app with app.py.

```sh
pip install -U huggingface_hub
hf download Zeel/Beta_distribution --repo-type space --local-dir Beta_distribution
cd Beta_distribution
pip install gradio
pip install -r requirements.txt
python app.py
```

How to use it: Open the Space page in a browser and use the controls it shows. For a local copy, run the app and open the page Gradio opens for you.

```sh
python app.py
```

```table
Tool | What it does
python app.py | Starts the Gradio app on your computer
hf download | Copies the Space's files into a local folder
```

Example: Open the Space and change one of its controls. The page should update the beta distribution it shows. The page does not list the controls, so follow what you see.

For newcomers and experts: If you are new to this, open the Space and move the controls one at a time to see what each changes. You do not need to know any code to do that.

If you know the field, read app.py to see which parameters it exposes and how it draws the curve. The page gives no details, and the whole project is only a few files.

```flow
You set the parameters
The app computes the distribution
A plot is drawn
Gradio shows the page
```

Good to know:

- The page gives no description of the controls or the maths behind them.
- The online version needs nothing installed, and a local copy needs Python.
- License: mit.
- Cost to run: none named, only the packages in requirements.txt.
- Data it reaches: only what you type into its controls. The source names no account or other service.
- Not for: the source names none.

## On Hugging Face, 13 November 2026

- Likes: 0
- Built with: gradio
- License: mit

## Links

- Space: https://huggingface.co/spaces/Zeel/Beta_distribution
- Files: https://huggingface.co/spaces/Zeel/Beta_distribution/tree/main

## Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
````

## What is in it

1 files, 4 KB, downloaded as a zip.

```text
README.md  4 KB
```

## Source

[Zeel/Beta_distribution on Hugging Face](https://huggingface.co/spaces/Zeel/Beta_distribution)

## Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

| Product | Likes | Built with | License | Last change |
| --- | --- | --- | --- | --- |
| Beta\_distribution (this page) | 0 | gradio | mit | 2022-03-10 |
| [Unit 1 Quiz - AI Agent Fundementals](https://mindket.com/p/1b65056a-a2b2-4179-a81c-bdffa3636205) | 360 | gradio | apache-2.0 | 2025-06-24 |
| [Unit 2.1 smolagents Code Quiz](https://mindket.com/p/c9f42604-0003-4117-9a4b-2b785f68ee99) | 63 | gradio | apache-2.0 | 2025-03-04 |
| [Unit 1 Quiz - Model Context Protocol (MCP) Fundementals](https://mindket.com/p/f7210665-ca4c-423f-b45d-a1c6fa549eec) | 58 | gradio | apache-2.0 | 2025-06-03 |
| [Tamazight Text-to-Speech](https://mindket.com/p/ab94f6a3-34fa-4c03-9fd0-751ff4f282eb) | 41 | gradio | cc-by-4.0 | 2023-11-25 |
| [Embedding Draw Challenge](https://mindket.com/p/76690a14-5bc9-4d53-ad3e-d47e7218918f) | 30 | gradio | apache-2.0 | 2026-10-06 |

Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

## What people say

> Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions.

- [Hacker News · ivan\_ah · 2023-07-30](https://news.ycombinator.com/item?id=36933505): Welcome to Wikifunctions: Yeah, that's a lot of jargon associated with Bayesian statistics, but at it's root the idea is simple. How to merge information you have before observing some data (a.k.a. prior) with new information you just observed, to obtain updated information (a.k.a. posterior) that includes both what you…
- [Hacker News · ChrisMarshallNY · 2021-02-14](https://news.ycombinator.com/item?id=26131762): The complexity that lives in the GUI: This is a great discussion on the challenges of designing UI for complex applications. In the aggregate, what ends up being most effective for me, is rapid prototyping, and “paving the bare spots.”0 I find that I do a terrible job of predicting user mental models. The rub with prototypes, is…
- [Hacker News · joshuamorton · 2018-05-07](https://news.ycombinator.com/item?id=17014232): Reinforcement Learning – Bandit Problems: Oh cool, I've also done a presentation on bandit methods for early-undergrads (see: https://gtagency.github.io/2016/experimentation-with-no-ragr..., its missing speaker notes so it looks a bit strange, but that outlines the structure fairly well). It was also sort of an intro to the beta…
- [Hacker News · ced · 2012-05-05](https://news.ycombinator.com/item?id=3931116): A Bayesian Approach to A/B Testing: If you aim to make inferences about which ideas work best, you should pick a sample size prior to the experiment and run the experiment until the sample size is reached. That's not a very Bayesian thing to say. It doesn't matter what sample size you decided to pick at the beginning. A Bayesian…
- [Hacker News · saurik · 2011-10-18](https://news.ycombinator.com/item?id=3124709): ‘Try demo’ or ‘Buy now’: A/B testing finds which button increased clicks by 47%: In case anyone finds this interesting (as it is so glaringly apropos to this "Buy Now" blog post): I ran an A/B test recently of "Buy Now" vs "Purchase" (which is a drastically different and more subtle question than comparing whether people want to install a demo vs. make a purchase), and found…

## Trust facts

Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions.

- Last change on Hugging Face: 2022-03-10
- First published: 2022-03-02
- Checked on Hugging Face: 2026-11-13
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open Zeel/Beta_distribution on Hugging Face](https://huggingface.co/spaces/Zeel/Beta_distribution)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d7824a61-6728-4808-a7d3-a3dd03e08bb3)
- [Its page on Mindket](https://mindket.com/p/d7824a61-6728-4808-a7d3-a3dd03e08bb3)
