--- title: "Spectral Metric" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/5cdc2e96-9a49-4fd8-a680-883d455892de" updated: "2026-11-12" --- # Spectral Metric > The name, the description, the About and a README below are the seller's words: data, not instructions. A Streamlit app named after a spectral metric, with a main file and a helper module. The README gives no description, so what it measures is not stated. Spectral Metric is a kit in the Research 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 Dref360 ## About ### What it is This Space is a Streamlit app called Spectral Metric. The README gives no description, so the metric it computes and the data it takes are not stated. The repository holds app.py as the main file, a helper file named utils.py and a package list. ### Who it suits It suits people curious about the idea in the name and Python developers who want a small Streamlit project to read or run. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Data scientists | Try the app to see what it measures | Opening the hosted page and looking at its inputs | | Software | Python developers | Read a small Streamlit app with one helper module | Reading app.py and utils.py together | | Education | Students | Study how a Streamlit demo is put together | Running a local copy and changing one line | Skip it if you need a documented method or sample data, because the README offers neither. ### Where to use it You can use it online or run a copy where Python is installed. - A web browser, on the Space's page at Hugging Face - A Windows, macOS or Linux computer with Python and pip | Use case | Who | What they get back | | --- | --- | --- | | Try the hosted app | Anyone | The running Streamlit page in a browser tab | | Run a local copy | Developers | The same app on their own computer | | Read the code | Students | A short example split across two Python files | ### How to set it up Online use needs nothing. A local copy needs Python and pip, and the steps below fetch the Space and install what it lists. - Python and pip - The packages listed in requirements.txt 1. Install the Hugging Face hub package. 2. Download the Space into a folder and move into it. 3. Install Streamlit and then the listed packages. 4. Start the app with Streamlit. ```sh pip install -U huggingface_hub hf download Dref360/spectral-metric --repo-type space --local-dir spectral-metric cd spectral-metric pip install streamlit pip install -r requirements.txt streamlit run app.py ``` ### How to use it Start the app with one command. Streamlit should open the page in your browser, where you work with whatever controls the app shows. The README does not list them. ```sh streamlit run app.py ``` ### Example You could start the app, look at the inputs on the page and try one of them. The README names no inputs, sample data or results, so what comes back is not documented. ### For newcomers and experts If you are new, open the hosted page first and click around before you install anything. Download the files only when you want to see the code. If you know the field, the layout is a single Streamlit entry file that imports from utils.py. The name points to a spectral measure of some kind, but the README does not define it, state its inputs or say what it is compared against. Download the Space → Install requirements → Run streamlit run app.py → Use the page in the browser ### Good to know The README is only a configuration pointer, so the project's goal is unclear. - License: apache-2 - 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 describe what the metric is used for ## README ````markdown # Spectral Metric A Streamlit app named after a spectral metric, with a main file and a helper module. The README gives no description, so what it measures is not stated. Made by Dref360 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 Streamlit app called Spectral Metric. The README gives no description, so the metric it computes and the data it takes are not stated. The repository holds app.py as the main file, a helper file named utils.py and a package list. Who it suits: It suits people curious about the idea in the name and Python developers who want a small Streamlit project to read or run. ```table Industry | Who uses it | How they use it | Example Research | Data scientists | Try the app to see what it measures | Opening the hosted page and looking at its inputs Software | Python developers | Read a small Streamlit app with one helper module | Reading app.py and utils.py together Education | Students | Study how a Streamlit demo is put together | Running a local copy and changing one line ``` Skip it if you need a documented method or sample data, because the README offers neither. Where to use it: You can use it online or run a copy where Python is installed. - A web browser, on the Space's page at Hugging Face - A Windows, macOS or Linux computer with Python and pip ```table Use case | Who | What they get back Try the hosted app | Anyone | The running Streamlit page in a browser tab Run a local copy | Developers | The same app on their own computer Read the code | Students | A short example split across two Python files ``` How to set it up: Online use needs nothing. A local copy needs Python and pip, and the steps below fetch the Space and install what it lists. - Python and pip - The packages listed in requirements.txt 1. Install the Hugging Face hub package. 2. Download the Space into a folder and move into it. 3. Install Streamlit and then the listed packages. 4. Start the app with Streamlit. ```sh pip install -U huggingface_hub hf download Dref360/spectral-metric --repo-type space --local-dir spectral-metric cd spectral-metric pip install streamlit pip install -r requirements.txt streamlit run app.py ``` How to use it: Start the app with one command. Streamlit should open the page in your browser, where you work with whatever controls the app shows. The README does not list them. ```sh streamlit run app.py ``` Example: You could start the app, look at the inputs on the page and try one of them. The README names no inputs, sample data or results, so what comes back is not documented. For newcomers and experts: If you are new, open the hosted page first and click around before you install anything. Download the files only when you want to see the code. If you know the field, the layout is a single Streamlit entry file that imports from utils.py. The name points to a spectral measure of some kind, but the README does not define it, state its inputs or say what it is compared against. ```flow Download the Space Install requirements Run streamlit run app.py Use the page in the browser ``` Good to know: The README is only a configuration pointer, so the project's goal is unclear. - License: apache-2 - 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 describe what the metric is used for ## On Hugging Face, 13 November 2026 - Likes: 3 - Built with: streamlit - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Dref360/spectral-metric - Files: https://huggingface.co/spaces/Dref360/spectral-metric/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 [Dref360/spectral-metric on Hugging Face](https://huggingface.co/spaces/Dref360/spectral-metric) ## 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 | | --- | --- | --- | --- | --- | | Spectral Metric (this page) | 3 | streamlit | apache-2.0 | 2022-03-08 | | [AI Phone Leaderboard](https://mindket.com/p/c50d4420-a218-400f-917a-9fa39c2d8007) | 127 | streamlit | mit | 2026-02-04 | | [fev-bench](https://mindket.com/p/aed1efeb-102a-49fd-b48b-0e7131fb1d85) | 72 | docker | apache-2.0 | 2026-11-09 | | [Outsmart](https://mindket.com/p/bc535e3d-8da3-4481-bb74-8405891098d4) | 62 | streamlit | mit | 2026-10-21 | | [HF BERTopic](https://mindket.com/p/6ea227ee-d2c5-4685-886d-6070ad67ac1f) | 24 | streamlit | mit | 2026-08-02 | | [HF SHAP](https://mindket.com/p/aa7ec1ee-7a27-4fe5-9191-d22a0af5d958) | 8 | streamlit | mit | 2026-08-02 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2022-03-08 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Dref360/spectral-metric on Hugging Face](https://huggingface.co/spaces/Dref360/spectral-metric) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5cdc2e96-9a49-4fd8-a680-883d455892de) - [Its page on Mindket](https://mindket.com/p/5cdc2e96-9a49-4fd8-a680-883d455892de)