Alibaba
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.
61%
of the visible star count comes from this organization's top three repositories.
42
stars per repository in this same snapshot.
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.
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.
Top Repositories
| # | Repository | Language | ⭐ Stars | 🍴 Forks | Updated |
|---|---|---|---|---|---|
| 1 | alibaba/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。 | TypeScript | 445 | 113 | 3 weeks ago |
| 2 | alibaba/anolisa ANOLISA - Agentic Nexus Operating Layer & Interface System Architecture | TypeScript | 173 | 39 | Today |
| 3 | alibaba/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. | Python | 151 | 10 | 1 months ago |
| 4 | alibaba/neug High-performance embedded graph database for analytics and real-time transactions | C++ | 86 | 23 | Yesterday |
| 5 | alibaba/opc-starter | TypeScript | 85 | 12 | 1 months ago |
| 6 | alibaba/landmark-tokenized-dit Official repository for paper "LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing" | Python | 62 | 7 | 2 months ago |
| 7 | alibaba/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. | Java | 47 | 4 | 1 months ago |
| 8 | alibaba/EfficientAI | Python | 43 | 3 | 1 months ago |
| 9 | alibaba/MobiZen-GUI | Python | 39 | 15 | 1 months ago |
| 10 | alibaba/tron-one-agent | Java | 19 | 3 | 5 days ago |
| 11 | alibaba/redfuser | Python | 19 | 1 | 1 months ago |
| 12 | alibaba/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. | TypeScript | 15 | 7 | 1 weeks ago |
| 13 | alibaba/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 | 1 | 1 months ago |
| 14 | alibaba/obz-cli Multi-backend observability CLI for metrics, logs, and traces — unified interface, AI-Agent friendly | Rust | 11 | 1 | Today |
| 15 | alibaba/loongsuite-semantic-conventions | Open Policy Agent | 8 | 4 | 1 weeks ago |
| 16 | alibaba/AILens Full-stack observability for AI — starting with end-to-end RL post-training, expanding to Agent and inference engine monitoring. | Python | 5 | 1 | Today |
| 17 | alibaba/dify | TypeScript | 5 | 1 | 1 months ago |
| 18 | alibaba/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 | 1 | Today | |
| 19 | alibaba/language-difficulty-control | Python | 4 | 0 | 3 months ago |
| 20 | alibaba/OpenSpec Spec-driven development (SDD) for AI coding assistants.(Fork for contributing. All changes intended for upstream PRs.) | TypeScript | 4 | 1 | 3 months ago |
| 21 | alibaba/slime slime is an LLM post-training framework for RL Scaling.(Fork for contributing. All changes intended for upstream PRs.) | 3 | 0 | 1 weeks ago | |
| 22 | alibaba/vllm A high-throughput and memory-efficient inference and serving engine for LLMs(Fork for contributing. All changes intended for upstream PRs.) | 3 | 0 | 2 months ago | |
| 23 | alibaba/openssl TLS/SSL and crypto library | C | 3 | 0 | 3 months ago |
| 24 | alibaba/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 | 0 | 2 weeks ago | |
| 25 | alibaba/GPlan | Python | 2 | 1 | 1 months ago |
| 26 | alibaba/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.) | Java | 2 | 0 | 2 weeks ago |
| 27 | alibaba/spec-kit 💫 Toolkit to help you get started with Spec-Driven Development(Fork for contributing. All changes intended for upstream PRs.) | Python | 2 | 0 | 3 months ago |
| 28 | alibaba/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 | 0 | 3 months ago | |
| 29 | alibaba/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 | 0 | 1 weeks ago | |
| 30 | alibaba/aiconfigurator Offline optimization of your disaggregated Dynamo graph(Fork for contributing. All changes intended for upstream PRs.) | 0 | 0 | 2 weeks ago |
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Learn and methodology
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.