Mindket

Semantic Galaxy

Newversion 1 · updated

Overview

A browser page that plots text embeddings in a 3D view, using the EmbeddingGemma model in ONNX form. For developers and learners who want to see how embeddings relate to each other.

Semantic Galaxy is a kit in the Developer 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
  • Python with pip on Windows, macOS or Linux, only to download the files
  • A web browser
Runs in
  • A browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux: open the downloaded dist/index.html in a web browser
Start with
pip install -U huggingface_hub
hf download webml-community/semantic-galaxy --repo-type space --local-dir semantic-galaxy
cd semantic-galaxy

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Semantic Galaxy is a web page that shows embeddings as points in a 3D space. The embeddings come from EmbeddingGemma, in the ONNX build that the Space names. It is a static front end, so it runs entirely in your browser.

Who it suits

Developers, data people and students who want to see how embeddings group together, rather than reading lists of numbers.

IndustryWho uses itHow they use itExample
AI developmentML engineersSee how an embedding model spreads items outOpen the Space and look at the 3D view
Data scienceAnalystsBuild intuition for semantic closenessCompare how nearby points relate
EducationStudentsLearn what an embedding is by looking at oneOpen the page and rotate the view
Web developmentFront-end developersStudy a Vite and TypeScript projectRead the files under src in the repository

People who need to run embeddings at scale in a pipeline can skip it, because this is a visual demo.

Where to use it

  • A browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux: open the downloaded dist/index.html in a web browser
Use caseWhoWhat they get back
See embeddingsLearnersA 3D picture of how items sit relative to each other
Study the buildDevelopersA Vite project with its source in src

How to set it up

  • Python with pip on Windows, macOS or Linux, only to download the files
  • A web browser
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Open dist/index.html with any browser.
pip install -U huggingface_hub
hf download webml-community/semantic-galaxy --repo-type space --local-dir semantic-galaxy
cd semantic-galaxy

How to use it

Open the Space page, or the local dist/index.html. The page shows the embeddings in a 3D view that you can look around in.

Example

You open the Space and look at the 3D view. Points that the model treats as similar sit near each other, so you can see which items the model groups together.

For newcomers and experts

If you are new, open the Space and just look. An embedding turns a piece of text into a list of numbers, and this page lets you see those lists as positions in space.

For experts, the page uses onnx-community/embeddinggemma-300m-ONNX in the browser. The repository is a Vite and TypeScript project whose built page sits in dist, with the source in src and the assets in public.

  1. You open the page
  2. The EmbeddingGemma ONNX model loads
  3. It turns items into embeddings
  4. The page draws them in 3D

Good to know

  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the onnx-community/embeddinggemma-300m-ONNX model it names
  • Not for: none stated in the README

README and files

README

Semantic Galaxy

A browser page that plots text embeddings in a 3D view, using the EmbeddingGemma model in ONNX form. For developers and learners who want to see how embeddings relate to each other.

Made by webml-community 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: Semantic Galaxy is a web page that shows embeddings as points in a 3D space. The embeddings come from EmbeddingGemma, in the ONNX build that the Space names. It is a static front end, so it runs entirely in your browser.

Who it suits: Developers, data people and students who want to see how embeddings group together, rather than reading lists of numbers.

Industry | Who uses it | How they use it | Example
AI development | ML engineers | See how an embedding model spreads items out | Open the Space and look at the 3D view
Data science | Analysts | Build intuition for semantic closeness | Compare how nearby points relate
Education | Students | Learn what an embedding is by looking at one | Open the page and rotate the view
Web development | Front-end developers | Study a Vite and TypeScript project | Read the files under src in the repository

People who need to run embeddings at scale in a pipeline can skip it, because this is a visual demo.

Where to use it:

  • A browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux: open the downloaded dist/index.html in a web browser
Use case | Who | What they get back
See embeddings | Learners | A 3D picture of how items sit relative to each other
Study the build | Developers | A Vite project with its source in src

How to set it up:

  • Python with pip on Windows, macOS or Linux, only to download the files
  • A web browser
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Open dist/index.html with any browser.
pip install -U huggingface_hub
hf download webml-community/semantic-galaxy --repo-type space --local-dir semantic-galaxy
cd semantic-galaxy

How to use it: Open the Space page, or the local dist/index.html. The page shows the embeddings in a 3D view that you can look around in.

Example: You open the Space and look at the 3D view. Points that the model treats as similar sit near each other, so you can see which items the model groups together.

For newcomers and experts: If you are new, open the Space and just look. An embedding turns a piece of text into a list of numbers, and this page lets you see those lists as positions in space.

For experts, the page uses onnx-community/embeddinggemma-300m-ONNX in the browser. The repository is a Vite and TypeScript project whose built page sits in dist, with the source in src and the assets in public.

You open the page
The EmbeddingGemma ONNX model loads
It turns items into embeddings
The page draws them in 3D

Good to know:

  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the onnx-community/embeddinggemma-300m-ONNX model it names
  • Not for: none stated in the README

On Hugging Face, 13 November 2026

  • Likes: 157
  • Built with: static
  • License: apache-2.0

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  3 KB

1 file, 3 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

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

ProductLikesBuilt withLicenseLast change
Semantic Galaxy This page157staticapache-2.0
InferenceSupportShares static764staticafl-3.0
HuggyShares static463staticcc-by-nc-sa-4.0
Z-Image Lookalike LoRA IndexShares static189staticapache-2.0
Granite Docling 258M WebGPUShares static163staticapache-2.0
DINOv3 WebShares static162staticapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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