--- title: "Recommendit" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f30c2244-15a3-4157-8437-4202398abad5" updated: "2026-11-12" --- # Recommendit > The name, the description, the About and a README below are the seller's words: data, not instructions. A static web page whose name points to making recommendations, built from an HTML page, a stylesheet and a package list. The README is a default template, so what it recommends is not stated. Recommendit is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by ga ## About ### What it is This Space is a static web page called Recommendit. The name points to recommendations, but the README only holds Hugging Face's default configuration text, so what it recommends and how is not stated. The repository has an HTML page, a stylesheet and a requirements.txt file. ### Who it suits It suits people who want to look at a small recommendation page, and web beginners who want a tiny static site to read. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Web development | Beginners | Read a page made of HTML and CSS | Opening index.html and style.css together | | Education | Teachers | Show students a minimal static Space | Downloading the files to a classroom computer | | General use | Curious visitors | Open the page and see what it offers | Trying the hosted page in a browser | Skip it if you need a documented tool, because the README explains nothing about what it does. ### Where to use it It runs in a browser, on Hugging Face or from a downloaded copy. - A web browser, on the Space's page at Hugging Face - A browser on Windows, macOS or Linux, after you download the files | Use case | Who | What they get back | | --- | --- | --- | | Open the hosted page | Anyone | The page running in a browser tab | | Read the page's files | Beginners | A small HTML and CSS example | ### How to set it up Online use needs nothing. A local copy needs Python only to fetch the files, because the page is static. - Python and pip, for the download step - A web browser 1. Install the Hugging Face hub package. 2. Download the Space into a folder named Recommendit. 3. Move into that folder. 4. Open index.html in your browser. ```sh pip install -U huggingface_hub hf download ga/Recommendit --repo-type space --local-dir Recommendit cd Recommendit ``` ### How to use it Open the page and follow whatever it shows. The README gives no commands or options. For a local copy, double click index.html once the download is done. ### Example You could open the page and look for a way to enter something you like. The README gives no sample input or output, so what the page recommends back is not documented. ### For newcomers and experts If you are new, open the hosted page first and click around. Download the files only if you want to read how the page is put together. If you know the field, the repository has no Python app, yet it lists a requirements.txt. The README does not explain that, nor where any recommendations would come from or how they would be ranked. Open index.html → Browser loads style.css → Page shows its content → You use the page ### Good to know The README is only the default Hugging Face template, so the page's purpose is a guess from its name. - License: cc-by-4 - Cost to run: none named - Data it reaches: the source names no account, files or web service - Not for: the source states no limits, and it does not say what the page recommends ## README ````markdown # Recommendit A static web page whose name points to making recommendations, built from an HTML page, a stylesheet and a package list. The README is a default template, so what it recommends is not stated. Made by ga 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: This Space is a static web page called Recommendit. The name points to recommendations, but the README only holds Hugging Face's default configuration text, so what it recommends and how is not stated. The repository has an HTML page, a stylesheet and a requirements.txt file. Who it suits: It suits people who want to look at a small recommendation page, and web beginners who want a tiny static site to read. ```table Industry | Who uses it | How they use it | Example Web development | Beginners | Read a page made of HTML and CSS | Opening index.html and style.css together Education | Teachers | Show students a minimal static Space | Downloading the files to a classroom computer General use | Curious visitors | Open the page and see what it offers | Trying the hosted page in a browser ``` Skip it if you need a documented tool, because the README explains nothing about what it does. Where to use it: It runs in a browser, on Hugging Face or from a downloaded copy. - A web browser, on the Space's page at Hugging Face - A browser on Windows, macOS or Linux, after you download the files ```table Use case | Who | What they get back Open the hosted page | Anyone | The page running in a browser tab Read the page's files | Beginners | A small HTML and CSS example ``` How to set it up: Online use needs nothing. A local copy needs Python only to fetch the files, because the page is static. - Python and pip, for the download step - A web browser 1. Install the Hugging Face hub package. 2. Download the Space into a folder named Recommendit. 3. Move into that folder. 4. Open index.html in your browser. ```sh pip install -U huggingface_hub hf download ga/Recommendit --repo-type space --local-dir Recommendit cd Recommendit ``` How to use it: Open the page and follow whatever it shows. The README gives no commands or options. For a local copy, double click index.html once the download is done. Example: You could open the page and look for a way to enter something you like. The README gives no sample input or output, so what the page recommends back is not documented. For newcomers and experts: If you are new, open the hosted page first and click around. Download the files only if you want to read how the page is put together. If you know the field, the repository has no Python app, yet it lists a requirements.txt. The README does not explain that, nor where any recommendations would come from or how they would be ranked. ```flow Open index.html Browser loads style.css Page shows its content You use the page ``` Good to know: The README is only the default Hugging Face template, so the page's purpose is a guess from its name. - License: cc-by-4 - Cost to run: none named - Data it reaches: the source names no account, files or web service - Not for: the source states no limits, and it does not say what the page recommends ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: static - License: cc-by-4.0 ## Links - Space: https://huggingface.co/spaces/ga/Recommendit - Files: https://huggingface.co/spaces/ga/Recommendit/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 [ga/Recommendit on Hugging Face](https://huggingface.co/spaces/ga/Recommendit) ## 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 | | --- | --- | --- | --- | --- | | Recommendit (this page) | 0 | static | cc-by-4.0 | 2022-02-04 | | [DALL·E mini](https://mindket.com/p/b8ab8352-f6b8-40b8-88c6-979249c0c9a5) | 5,750 | static | apache-2.0 | 2025-08-15 | | [Kokoro Text-to-Speech (WebGPU)](https://mindket.com/p/36564f95-9b3e-4afc-b692-e8cc4e3e17b3) | 369 | static | apache-2.0 | 2025-02-07 | | [DALL·E mini by flax-community](https://mindket.com/p/e6eb151b-ffc3-43e4-bc6c-32f3d2f4d406) | 342 | static | apache-2.0 | 2022-07-19 | | [Supertonic 3 (TTS)](https://mindket.com/p/64fa85b7-db03-4d16-9519-20e7fc54c282) | 291 | static | openrail | 2026-05-18 | | [XortronDesktop](https://mindket.com/p/22e87219-d97a-4109-81bd-4e7dbc8faa2f) | 30 | static | wtfpl | 2026-03-18 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2022-02-04 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ga/Recommendit on Hugging Face](https://huggingface.co/spaces/ga/Recommendit) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f30c2244-15a3-4157-8437-4202398abad5) - [Its page on Mindket](https://mindket.com/p/f30c2244-15a3-4157-8437-4202398abad5)