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Leaderboards

huggingface.co·LLM eval & observability

Leaderboards is a web application that allows users to discover, compare, and evaluate machine learning models and community-created ML apps. It provides structured leaderboards and evaluation metrics for practitioners and researchers.

FreeWebSelf-hostedCloud-managed
LLeaderboards preview
Visit huggingface.co↗

Overview

4 features

Leaderboards sits in PulseGate's LLM eval & observability category. Helping users discover, compare, and evaluate machine learning models and applications. It is built as a consumer product for machine learning practitioners and researchers. Leaderboards is free to use. It ships for the web, and it can be self-hosted.

autoevaluate builds and maintains Leaderboards, and it first shipped in 2023. Key capabilities include model discovery, community apps, and leaderboard comparison.

Summary written by a language model from the project’s public pages.

  • ✓Model discovery
  • ✓Community apps
  • ✓Leaderboard comparison
  • ✓Model evaluation
Tags
ml-leaderboardmodel-comparisoncommunity-appsai-evaluation
AI capabilities
Structured
Inference: Cloud API

Built with & integrations

Hosting
AWS
AI providers
local_oss
Runs on
BrowserSelf-hostedCloud-managed
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss
huggingface in the HTML

Trust & compliance

Verified signals
✓HTTPS✓Free tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Jul · 21:20 UTC
    autoevaluate/leaderboards verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Leaderboards

What does Leaderboards do?
Helping users discover, compare, and evaluate machine learning models and applications. It is catalogued under LLM eval & observability on PulseGate.
Who should use Leaderboards?
Leaderboards is a consumer product built for machine learning practitioners and researchers.
Is Leaderboards free?
Yes — Leaderboards is free to use.
What platforms does Leaderboards run on?
Leaderboards runs on the web. It can also be self-hosted.
Is Leaderboards still active?
Unverified. Leaderboards has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Leaderboards?
Similar projects tracked by PulseGate include La Leaderboard, Deep Reinforcement Learning Leaderboard, and Leaderboard.La LeaderboardDeep Reinforcement Learning LeaderboardLeaderboard
Who makes Leaderboards?
Leaderboards is developed by autoevaluate.
When did Leaderboards launch?
Leaderboards first shipped in 2023.

At a glance

Platforms
Web
Languages
English
Built for
machine learning practitioners and researchers
Model
B2C
Solves
Helping users discover, compare, and evaluate machine learning models and applications.

Registered as

Hugging Face Spaces
autoevaluate/leaderboards

Developer

autoevaluate

Index record

Identity confidence
High · 92
Indexed
10 Jul 2026
Lifecycle
Alive
Last seen
10 Jul 2026
Identity audit (12)
Slug
autoevaluate-leaderboards-huggingface-co
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
10 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Canonical URL
https://huggingface.co/spaces/autoevaluate/leaderboards

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