VLMEvalKit

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Overview

HEALTH SCORE

Healthy*

Partial score (2/3 categories)

52out of 65

Solid maintainer coverage. Development cadence keeps the score from reaching Excellent. Security & Supply Chain is unavailable, so weights were redistributed.

LIFECYCLE

Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

Display your project Health score on your GitHub page.

Health breakdown

Healthy*(52/65)

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 10 days.

Bus factor

9 active maintainers currently have merge rights.

Organization Diversity

Contributors span 199 organizations.

Project Achievements

Leaderboards

About

VLMEvalKit is an evaluation toolkit for large vision language models (VLMs) that provides standardized benchmarking and testing capabilities. It enables comprehensive assessment of VLM performance across multiple dimensions including visual understanding, reasoning, and multimodal capabilities.

First commit

November 2023

Software value

$5.2M