Mindket

Paper Pulse

Newversion 1 · updated

Overview

Shows the day-by-day upvote history of every Hugging Face Daily Paper since March 2024, with each paper's daily rank and the labs and authors behind the top ones. It suits researchers and AI followers.

Paper Pulse 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
  • Python with pip, only to download a copy
Runs in
  • A web browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux, by opening the downloaded page in a browser
Start with
pip install -U huggingface_hub
hf download tardellirs/paper-pulse --repo-type space --local-dir paper-pulse
cd paper-pulse

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Paper Pulse keeps the upvote history of every paper featured in Hugging Face Daily Papers since March 2024. For each paper you can follow its upvotes day by day and its position on its featured day. You can also see which labs and authors wrote the leading papers. Where the Hub took votes away in bulk, the page flags it instead of concealing it.

Who it suits

Researchers, writers and AI followers who want to see which papers drew attention and how fast. Authors and labs can see how their own papers did on the day.

Who reads paper upvote history
IndustryWho uses itHow they use itExample
AI researchResearchersTrack which papers drew the most attentionRead the most upvoted papers of a year
PublishingNewsletter and blog writersFind the papers that were popular in the communityPick well-ranked papers for a weekly roundup
AcademiaAuthors and lab membersSee how their paper ranked on its featured dayCheck a paper's upvote curve
AnalysisTrend watchersSee which labs and authors recur at the topCompare labs across the top papers

If you want the papers' full text or a summary of each, you can skip it, since it tracks votes and rank.

Where to use it

  • A web browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux, by opening the downloaded page in a browser
Use caseWhoWhat they get back
See a paper's upvote historyResearchersUpvotes over time and the paper's rank on its day
Find the most upvoted papersWritersA list by year of papers with 15 or more upvotes
See who is behind top papersAnalystsThe labs and authors behind the highest ranked papers

How to set it up

To use it online you need nothing. To keep a copy of the page you need Python and pip for the download.

  • A web browser
  • Python with pip, only to download a copy
  1. Install the Hugging Face hub package and download the Space into a folder.
  2. Move into that folder.
  3. Load index.html into your browser.
pip install -U huggingface_hub
hf download tardellirs/paper-pulse --repo-type space --local-dir paper-pulse
cd paper-pulse

How to use it

Open the page and read the lists of the most upvoted Daily Papers, grouped by the year each was featured. The counts are upvotes seven days after the paper's Daily Papers date.

Example

You open the page and scroll to the 2026 list. You see papers ranked by their upvote count a week after they were featured, from the highest down.

For newcomers and experts

If you are new to this, open the Space and read the top of the 2026 list. Pick one paper from it and look at how its votes compare with the others.

If you know the field, the project builds on the daily-papers-stats dataset from hysts-bot-data and on the Daily Papers API. It marks votes the Hub removed in bulk instead of hiding them, which keeps the history honest. The measure is upvotes seven days after the featured date, so later votes are not counted in the lists.

  1. Daily Papers data is collected
  2. Upvotes are tracked day by day
  3. Bulk removed votes are marked
  4. You read the history and rankings

Good to know

  • Coverage: every Daily Papers entry since March 2024
  • Sister project: Model Pulse, which does the same for model downloads
  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the daily-papers-stats dataset, the Daily Papers API and an open data set the author publishes

README and files

README

Paper Pulse

Shows the day-by-day upvote history of every Hugging Face Daily Paper since March 2024, with each paper's daily rank and the labs and authors behind the top ones. It suits researchers and AI followers.

Made by tardellirs 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: Paper Pulse keeps the upvote history of every paper featured in Hugging Face Daily Papers since March 2024. For each paper you can follow its upvotes day by day and its position on its featured day. You can also see which labs and authors wrote the leading papers. Where the Hub took votes away in bulk, the page flags it instead of concealing it.

Who it suits: Researchers, writers and AI followers who want to see which papers drew attention and how fast. Authors and labs can see how their own papers did on the day.

Title: Who reads paper upvote history
Industry | Who uses it | How they use it | Example
AI research | Researchers | Track which papers drew the most attention | Read the most upvoted papers of a year
Publishing | Newsletter and blog writers | Find the papers that were popular in the community | Pick well-ranked papers for a weekly roundup
Academia | Authors and lab members | See how their paper ranked on its featured day | Check a paper's upvote curve
Analysis | Trend watchers | See which labs and authors recur at the top | Compare labs across the top papers

If you want the papers' full text or a summary of each, you can skip it, since it tracks votes and rank.

Where to use it:

  • A web browser: the Space runs on Hugging Face with nothing to install
  • Windows, macOS or Linux, by opening the downloaded page in a browser
Use case | Who | What they get back
See a paper's upvote history | Researchers | Upvotes over time and the paper's rank on its day
Find the most upvoted papers | Writers | A list by year of papers with 15 or more upvotes
See who is behind top papers | Analysts | The labs and authors behind the highest ranked papers

How to set it up: To use it online you need nothing. To keep a copy of the page you need Python and pip for the download.

  • A web browser
  • Python with pip, only to download a copy
  1. Install the Hugging Face hub package and download the Space into a folder.
  2. Move into that folder.
  3. Load index.html into your browser.
pip install -U huggingface_hub
hf download tardellirs/paper-pulse --repo-type space --local-dir paper-pulse
cd paper-pulse

How to use it: Open the page and read the lists of the most upvoted Daily Papers, grouped by the year each was featured. The counts are upvotes seven days after the paper's Daily Papers date.

Example: You open the page and scroll to the 2026 list. You see papers ranked by their upvote count a week after they were featured, from the highest down.

For newcomers and experts: If you are new to this, open the Space and read the top of the 2026 list. Pick one paper from it and look at how its votes compare with the others.

If you know the field, the project builds on the daily-papers-stats dataset from hysts-bot-data and on the Daily Papers API. It marks votes the Hub removed in bulk instead of hiding them, which keeps the history honest. The measure is upvotes seven days after the featured date, so later votes are not counted in the lists.

Daily Papers data is collected
Upvotes are tracked day by day
Bulk removed votes are marked
You read the history and rankings

Good to know:

  • Coverage: every Daily Papers entry since March 2024
  • Sister project: Model Pulse, which does the same for model downloads
  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the daily-papers-stats dataset, the Daily Papers API and an open data set the author publishes

On Hugging Face, 13 November 2026

  • Likes: 27
  • 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  4 KB

1 file, 4 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
Paper Pulse This page27staticapache-2.0
Model PulseShares statistics · leaderboard · static214staticapache-2.0
Model Pulse by emanforhelpShares statistics · leaderboard · static7staticapache-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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