Mindket

Model Pulse by emanforhelp

Newversion 1 · updated

Overview

Shows daily download history, likes and derivative families for every model on the Hugging Face Hub since July 2024, with comparison charts and weekly rankings. It suits model authors and analysts who follow open models.

Model Pulse by emanforhelp is a kit in the Research 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
  • A web browser with internet access
  • Python and pip, only if you download a local copy
Runs in
  • A web browser, through the Space's page on Hugging Face
  • Any browser on Windows, macOS or Linux, opening a downloaded copy of index.html
  • A model's README, where the page's badge shows monthly downloads
Start with
pip install -U huggingface_hub
hf download emanforhelp/model-pulse --repo-type space --local-dir model-pulse
cd model-pulse

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Model Pulse is a static page that charts how often each Hugging Face Hub model is downloaded and liked, day by day since July 2024, and which families of derived models it has. Pick a model to read its history, set up to five side by side, and check what share of its use comes from variants made from it. It is an independent project and not affiliated with Hugging Face.

Who it suits

It suits model authors, analysts and curious readers who want to see how open models are used over time.

IndustryWho uses itHow they use itExample
AI researchAnalystsTrack downloads and growth of open models over timeAn analyst compares up to five models on one chart.
Model publishingModel authorsSee how much of their reach comes from quantizations, fine-tunes, adapters and mergesAn author looks up their model and its derivative family.
CommunityHub contributorsReview an author's last 12 months in six cardsA contributor opens the Wrapped view for their own account.
JournalismTech writersFind the weekly most downloaded and fastest growing modelsA writer reads the weekly rankings for a news piece.

If you need data from outside the Hugging Face Hub, skip it, because it covers only models there.

Where to use it

  • A web browser, through the Space's page on Hugging Face
  • Any browser on Windows, macOS or Linux, opening a downloaded copy of index.html
  • A model's README, where the page's badge shows monthly downloads
Use caseWhoWhat they get back
Look up a modelAnyoneDaily download history and likes for that model
Compare modelsAnalystsUp to five models on one chart
See weekly rankingsWriters and authorsTop downloads, quickest risers, fresh breakouts, big families and leading organizations

How to set it up

  • A web browser with internet access
  • Python and pip, only if you download a local copy
  1. Install the huggingface_hub package.
  2. Download the Space into a local folder named model-pulse.
  3. Move into that folder.
  4. Open index.html in your web browser.
pip install -U huggingface_hub
hf download emanforhelp/model-pulse --repo-type space --local-dir model-pulse
cd model-pulse

How to use it

Open the page and use the controls, or add a query to the page link. A model query opens that model directly, the galaxy view draws all models built on a base model, and the wrapped view shows an author's year.

?model=org/name
?view=galaxy
?view=wrapped
ToolWhat it does
Model lookupShows one model's daily downloads, likes and derivative families
ComparePuts up to five models on one chart
GalaxyDraws every model built on a base model as a galaxy
WrappedShows an author's last 12 months in six cards
Weekly rankingsLists top downloads, quickest risers, fresh breakouts, big families and leading organizations
README badgeShows monthly downloads with a sparkline, updated daily

Example

You look up a model by adding its organization and name to the model query. The page shows its daily downloads and likes, and how much of its reach comes from quantizations, fine-tunes, adapters and merges.

For newcomers and experts

If you are new, open the page and look up a model you already know. Then try the galaxy view to see the family that grew from it.

If you know the field, the data comes from daily snapshots of the Hub's own stats, compiled into a separate dataset. The page counts derivatives by kind, so you can separate quantizations from fine-tunes, adapters and merges.

  1. Daily snapshots of Hub stats
  2. Compiled into a dataset
  3. The page reads the history
  4. Charts, rankings and badges appear

Good to know

  • History starts in July 2024
  • It is independent and not affiliated with Hugging Face
  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the compiled dataset of Hub statistics, read by the page

README and files

README

Model Pulse by emanforhelp

Shows daily download history, likes and derivative families for every model on the Hugging Face Hub since July 2024, with comparison charts and weekly rankings. It suits model authors and analysts who follow open models.

Made by emanforhelp 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: Model Pulse is a static page that charts how often each Hugging Face Hub model is downloaded and liked, day by day since July 2024, and which families of derived models it has. Pick a model to read its history, set up to five side by side, and check what share of its use comes from variants made from it. It is an independent project and not affiliated with Hugging Face.

Who it suits: It suits model authors, analysts and curious readers who want to see how open models are used over time.

Industry | Who uses it | How they use it | Example
AI research | Analysts | Track downloads and growth of open models over time | An analyst compares up to five models on one chart.
Model publishing | Model authors | See how much of their reach comes from quantizations, fine-tunes, adapters and merges | An author looks up their model and its derivative family.
Community | Hub contributors | Review an author's last 12 months in six cards | A contributor opens the Wrapped view for their own account.
Journalism | Tech writers | Find the weekly most downloaded and fastest growing models | A writer reads the weekly rankings for a news piece.

If you need data from outside the Hugging Face Hub, skip it, because it covers only models there.

Where to use it:

  • A web browser, through the Space's page on Hugging Face
  • Any browser on Windows, macOS or Linux, opening a downloaded copy of index.html
  • A model's README, where the page's badge shows monthly downloads
Use case | Who | What they get back
Look up a model | Anyone | Daily download history and likes for that model
Compare models | Analysts | Up to five models on one chart
See weekly rankings | Writers and authors | Top downloads, quickest risers, fresh breakouts, big families and leading organizations

How to set it up:

  • A web browser with internet access
  • Python and pip, only if you download a local copy
  1. Install the huggingface_hub package.
  2. Download the Space into a local folder named model-pulse.
  3. Move into that folder.
  4. Open index.html in your web browser.
pip install -U huggingface_hub
hf download emanforhelp/model-pulse --repo-type space --local-dir model-pulse
cd model-pulse

How to use it: Open the page and use the controls, or add a query to the page link. A model query opens that model directly, the galaxy view draws all models built on a base model, and the wrapped view shows an author's year.

?model=org/name
?view=galaxy
?view=wrapped
Tool | What it does
Model lookup | Shows one model's daily downloads, likes and derivative families
Compare | Puts up to five models on one chart
Galaxy | Draws every model built on a base model as a galaxy
Wrapped | Shows an author's last 12 months in six cards
Weekly rankings | Lists top downloads, quickest risers, fresh breakouts, big families and leading organizations
README badge | Shows monthly downloads with a sparkline, updated daily

Example: You look up a model by adding its organization and name to the model query. The page shows its daily downloads and likes, and how much of its reach comes from quantizations, fine-tunes, adapters and merges.

For newcomers and experts: If you are new, open the page and look up a model you already know. Then try the galaxy view to see the family that grew from it.

If you know the field, the data comes from daily snapshots of the Hub's own stats, compiled into a separate dataset. The page counts derivatives by kind, so you can separate quantizations from fine-tunes, adapters and merges.

Daily snapshots of Hub stats
Compiled into a dataset
The page reads the history
Charts, rankings and badges appear

Good to know:

  • History starts in July 2024
  • It is independent and not affiliated with Hugging Face
  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the compiled dataset of Hub statistics, read by the page

On Hugging Face, 13 November 2026

  • Likes: 7
  • 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  5 KB

1 file, 5 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
Model Pulse by emanforhelp This page7staticapache-2.0
Model PulseShares analytics · data-visualization · downloads214staticapache-2.0
Paper PulseShares statistics · leaderboard · static27staticapache-2.0
Arena LeaderboardShares leaderboard · static5,039staticapache-2.0
MTEB-BR LeaderboardShares leaderboard · static126staticapache-2.0
Icelandic LLM LeaderboardShares leaderboard · static20staticcc-by-4.0
Numbers as Mindket last read them, on 2026-11-12.

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