GitStar

AlibabaOrganization

Alibaba

@alibaba • Alibaba Open Source. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

61%

Top three share

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

Breadth

30 repos

Visible snapshot

25 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

Python (9), Unknown (7), TypeScript (6)

Average size

42

Stars per repository

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

Updated: 2026-04-30(6h ago)GitHub API fallback30 repositories

Portfolio Shape

61%

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

Average Repository Size

42

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 25 repositories updated in the last 90 days.

Why this rank

This organization stands out because its public portfolio is relatively balanced across 30 repositories.

Balanced portfolio across 30 reposTop 3 share 61%

Organization pages work best when you separate portfolio breadth from flagship concentration. In Alibaba's case, the visible top three repositories account for about 61% 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 (9), Unknown (7), TypeScript (6). 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

#RepositoryLanguage⭐ Stars
1alibaba/lumenx

LumenX Studio,AI 短漫剧一站式生产平台。它能够将小说文本转化为动态视频,打通了从剧本分析、角色定制、分镜绘制到视频合成的完整创作链路。

TypeScript445
2alibaba/anolisa

ANOLISA - Agentic Nexus Operating Layer & Interface System Architecture

TypeScript173
3alibaba/aacr-bench

An Alibaba open-source multi-language benchmark for evaluating LLMs in repository-level automatic code review, featuring an AI-assisted and expert-verified dataset.

Python151
4alibaba/neug

High-performance embedded graph database for analytics and real-time transactions

C++86
5alibaba/opc-starterTypeScript85
6alibaba/landmark-tokenized-dit

Official repository for paper "LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing"

Python62
7alibaba/open-agent-auth

An enterprise framework implementing the Agent Operation Authorization protocol with cryptographic identity binding, fine-grained authorization, and semantic audit trails for secure AI agent operations.

Java47
8alibaba/EfficientAIPython43
9alibaba/MobiZen-GUIPython39
10alibaba/tron-one-agentJava19
11alibaba/redfuserPython19
12alibaba/loongsuite-js-plugins

OpenTelemetry instrumentation plugins for JavaScript-based AI coding agents. Collect traces, tool calls, and LLM metrics from Claude Code and OpenClaw — zero code changes required.

TypeScript15
13alibaba/DiskVecLab

A modular framework for evaluating disk-based vector search, enabling controlled ablations and end-to-end comparisons across diverse storage environments, concurrency regimes, and query distributions.

C++13
14alibaba/obz-cli

Multi-backend observability CLI for metrics, logs, and traces — unified interface, AI-Agent friendly

Rust11
15alibaba/loongsuite-semantic-conventionsOpen Policy Agent8
16alibaba/AILens

Full-stack observability for AI — starting with end-to-end RL post-training, expanding to Agent and inference engine monitoring.

Python5
17alibaba/difyTypeScript5
18alibaba/harbor

Harbor is a framework for running agent evaluations and creating and using RL environments.(Fork for contributing. All changes intended for upstream PRs.)

4
19alibaba/language-difficulty-controlPython4
20alibaba/OpenSpec

Spec-driven development (SDD) for AI coding assistants.(Fork for contributing. All changes intended for upstream PRs.)

TypeScript4
21alibaba/slime

slime is an LLM post-training framework for RL Scaling.(Fork for contributing. All changes intended for upstream PRs.)

3
22alibaba/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs(Fork for contributing. All changes intended for upstream PRs.)

3
23alibaba/openssl

TLS/SSL and crypto library

C3
24alibaba/verl-recipe

A set of examples based on verl for end-to-end RL training recipes.(Fork for contributing. All changes intended for upstream PRs.)

2
25alibaba/GPlanPython2
26alibaba/gravitino

World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.(Fork for contributing. All changes intended for upstream PRs.)

Java2
27alibaba/spec-kit

💫 Toolkit to help you get started with Spec-Driven Development(Fork for contributing. All changes intended for upstream PRs.)

Python2
28alibaba/mbedtls

An open source, portable, easy to use, readable and flexible TLS library, and reference implementation of the PSA Cryptography API. Releases are on a varying cadence, typically around 3 - 6 months between releases.

2
29alibaba/OSWorld

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments(Fork for contributing. All changes intended for upstream PRs.)

1
30alibaba/aiconfigurator

Offline optimization of your disaggregated Dynamo graph(Fork for contributing. All changes intended for upstream PRs.)

0

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.

Learn and methodology

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

How to Read This 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.