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Open VLM Leaderboard

huggingface.co·LLM eval & observability

Open VLM Leaderboard is a web application that allows users to view, filter, and compare the performance of vision-language models on various datasets and evaluation metrics. It is designed for AI researchers and practitioners to benchmark and analyze model results interactively.

FreeApache-2.0WebSelf-hostedCloud-managed
OOpen VLM Leaderboard preview
Visit huggingface.co↗
4.3kstars
730forks
5features
2023since

Overview

5 features

In the LLM eval & observability space, Open VLM Leaderboard takes a focused approach. It focuses on comparing and tracking the performance of vision-language models across datasets and evaluation metrics. Open VLM Leaderboard is a B2B product aimed at AI researchers and ML practitioners. Open VLM Leaderboard is free to use. It runs on the web, and it can be self-hosted.

Behind Open VLM Leaderboard is opencompass, and it first shipped in 2023. Development happens publicly on GitHub with 4.3k stars and 43 commits in the last 90 days. Key capabilities include leaderboard, model comparison, and interactive filters.

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

  • ✓Leaderboard
  • ✓Model comparison
  • ✓Interactive filters
  • ✓Dataset selection
  • ✓Evaluation metrics
Tags
vlm-leaderboardmodel-evaluationvision-languagebenchmarkingmultimodal-ai
AI capabilities
ImageTextMultimodal

Built with & integrations

Hosting
AWS
AI providers
local_ossopenai
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

License
Apache-2.0
Verified signals
✓HTTPS✓Free tier✓GitHub · ★ 4.3k✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Jul · 11:21 UTC
    open-compass/VLMEvalKit verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Open VLM Leaderboard

What does Open VLM Leaderboard do?
Open VLM Leaderboard focuses on comparing and tracking the performance of vision-language models across datasets and evaluation metrics. It is catalogued under LLM eval & observability on PulseGate.
Who should use Open VLM Leaderboard?
Open VLM Leaderboard is a B2B product built for AI researchers and ML practitioners.
Is Open VLM Leaderboard free?
Yes — Open VLM Leaderboard is free to use.
What platforms does Open VLM Leaderboard run on?
Open VLM Leaderboard runs on the web. It can also be self-hosted.
Is Open VLM Leaderboard still active?
The GitHub repository shows 43 commits in the last 90 days.
What projects are similar to Open VLM Leaderboard?
Similar projects tracked by PulseGate include Open VLM Video Leaderboard, Open LLM Leaderboard, and OpenCompass LLM Leaderboard.Open VLM Video LeaderboardOpen LLM LeaderboardOpenCompass LLM Leaderboard
Who develops Open VLM Leaderboard?
Open VLM Leaderboard is developed by opencompass.
How long has Open VLM Leaderboard been around?
Open VLM Leaderboard first shipped in 2023.

At a glance

Platforms
Web
Languages
English
Open source
Yes · ★ 4.3k
License
Apache-2.0
Built for
AI researchers and ML practitioners
Model
B2B
Solves
Comparing and tracking the performance of vision-language models across datasets and evaluation metrics.

Registered as

GitHub
open-compass/VLMEvalKit

Developer

opencompass
Community-driven
↗ GitHub

Open source

View on GitHub →
Stars
4,269
Forks
730
Open issues
264
Last commit
5 Jul 2026
Commits 90d
43
Contributors
281
Authorship
Community-driven
Default branch
main
Latest release
v0.2 · 24 Mar 2025

Index record

Identity confidence
High · 95
Indexed
10 Jul 2026
Lifecycle
Alive
Last seen
10 Jul 2026
Identity audit (12)
Slug
open-compass-vlmevalkit-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/opencompass/open_vlm_leaderboard

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