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Data source · GitHub API and package ecosystem snapshots

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Data sourced from GitHub API

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  2. Organizations
  3. x-plug
x-plugOrganization

x-plug

@x-plug • Open source projects from x-plug. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

84%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

15 repos

Visible snapshot

1 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

Python (15)

Average size

1.1K

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-05-13(105d ago)GitHub API fallback15 repositories

Portfolio Shape

84%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

1.1K

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 1 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 54% of its visible star count.

Flagship share 54%Breakout repo: MobileAgent

Organization pages work best when you separate portfolio breadth from flagship concentration. In x-plug's case, the visible top three repositories account for about 84% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Python (15). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars🍴 ForksUpdated
1x-plug/MobileAgent

Mobile-Agent: The Powerful GUI Agent Family

Python9.1K9091 months ago
2x-plug/mPLUG-Owl

mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

Python2.5K1891 years ago
3x-plug/mPLUG-DocOwl

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Python2.4K1541 years ago
4x-plug/CValues

面向中文大模型价值观的评估与对齐研究

Python558243 years ago
5x-plug/ChatPLUG

A Chinese Open-Domain Dialogue System

Python323293 years ago
6x-plug/Youku-mPLUG

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Pre-training Dataset and Benchmarks

Python309102 years ago
7x-plug/MM_StoryAgentPython307572 years ago
8x-plug/Multi-LLM-AgentPython243292 years ago
9x-plug/OSWorld-MCPPython233253 months ago
10x-plug/mPLUG-2

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video (ICML 2023)

Python227203 years ago
11x-plug/WritingBench

WritingBench: A Comprehensive Benchmark for Generative Writing

Python197198 months ago
12x-plug/mPLUG-HalOwl

mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating

Python9922 years ago
13x-plug/mPLUG

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. (EMNLP 2022)

Python9783 years ago
14x-plug/SocialBench

RoleInteract: Evaluating the Social Interaction of Role-Playing Agents

Python7151 years ago
15x-plug/ToolCUA

ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents

Python6123 months ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.