Mindket

Beta_distribution

Newversion 1 · updated

Overview

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 . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Nothing to install for the online version
  • Python on your computer for a local copy
  • The packages listed in requirements.txt
Runs in
  • A web browser, on the Space's page on Hugging Face
  • Python on Windows, macOS or Linux, using a downloaded copy
Start with
pip install -U huggingface_hub
hf download Zeel/Beta_distribution --repo-type space --local-dir Beta_distribution
cd Beta_distribution

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

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.

IndustryWho uses itHow they use itExample
EducationStatistics studentsOpen the demo to see how a distribution behavesChange a setting and watch the picture
SoftwareDevelopersUse the three file project as a starting point for a Gradio chart demoAdd a second distribution to it
TeachingTeachersShow a class a distribution without writing codeOpen 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 caseWhoWhat they get back
Explore the beta distribution onlineStudentsA view of the distribution you can adjust
Study a minimal Gradio appDevelopersA 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.
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.

python app.py
ToolWhat it does
python app.pyStarts the Gradio app on your computer
hf downloadCopies 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.

  1. You set the parameters
  2. The app computes the distribution
  3. A plot is drawn
  4. 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 and files

README

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.

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.
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.

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.

On Hugging Face, 13 November 2026

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

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-13

Compare with similar

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

ProductLikesBuilt withLicenseLast change
Beta_distribution This page0gradiomit
Unit 1 Quiz - AI Agent FundementalsShares gradio360gradioapache-2.0
Unit 2.1 smolagents Code QuizShares gradio63gradioapache-2.0
Unit 1 Quiz - Model Context Protocol (MCP) FundementalsShares gradio58gradioapache-2.0
Tamazight Text-to-SpeechShares gradio41gradiocc-by-4.0
Embedding Draw ChallengeShares gradio30gradioapache-2.0
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

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What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

ivan_ahWelcome to WikifunctionsYeah, 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…ChrisMarshallNYThe complexity that lives in the GUIThis 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…joshuamortonReinforcement Learning – Bandit ProblemsOh 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…cedA Bayesian Approach to A/B TestingIf 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…saurik‘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…

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