[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-8689":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":41,"readmeContent":42,"aiSummary":43,"trendingCount":16,"starSnapshotCount":16,"syncStatus":44,"lastSyncTime":45,"discoverSource":46},8689,"csghub","OpenCSGs\u002Fcsghub","OpenCSGs","CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise\u002FSaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️","https:\u002F\u002Fopencsg.com",null,"Vue",4172,518,450,24,0,7,16,3,65.25,"Apache License 2.0",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"ai","asset-management","dataset","deepseek","deploy","finetune","git","huggingface","inference","llm","management-system","model","platform","prompt","ray","space","2026-06-12 04:00:40","[![Unit Tests](https:\u002F\u002Fgithub.com\u002FOpenCSGs\u002Fcsghub\u002Factions\u002Fworkflows\u002Funit_tests.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002FOpenCSGs\u002Fcsghub\u002Factions\u002Fworkflows\u002Funit_tests.yml)\n\n[![Join WeChat Slack](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fwechat-join_chat-white.svg?logo=wechat&style=social)](.\u002Fdocs\u002Fimages\u002Fwechat-assistant-new.png)\n[![Join OpenCSG Slack](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fslack-join_chat-white.svg?logo=slack&style=social)](https:\u002F\u002Fjoin.slack.com\u002Ft\u002Fopencsghq\u002Fshared_invite\u002Fzt-2fmtem7hs-s_RmMeoOIoF1qzslql2q~A)\n[![Join OpenCSG Discord](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdiscord-join_chat-white.svg?logo=discord&style=social)](https:\u002F\u002Fdiscord.gg\u002FbXnu4C9BkR)\n[![Gurubase](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGurubase-Ask%20CSGHub%20Guru-006BFF?style=social)](https:\u002F\u002Fgurubase.io\u002Fg\u002Fcsghub)\n\n**[简体中文](README_zh.md) ∙ [日本語](README_jp.md) ∙ [한국어](README_kr.md) ∙ [Español](README_es.md)**\n\n## CSGHub\n\nCSGHub is an open-source platform designed for managing Large Language Models (LLM) assets, offering an efficient way to handle the entire LLM and their assets such as datasets, spaces and codes etc. It allows users to upload, download, store, verify, and distribute LLM assets like DeepSeek,Llama etc.via a web interface, `git` command line, a natural language Chatbot, or [CSGHub SDK](https:\u002F\u002Fgithub.com\u002FOpenCSGs\u002Fcsghub-sdk).\n\nAdditionally, CSGHub features microservice submodules and standardized OpenAPIs for seamless integration with existing systems. It aims to provide a user-friendly management platform specifically for LLM, which can be deployed On-Premise for secure, offline operation. Essentially, CSGHub serves as a private, on-premise version of Huggingface.\n\n![CSGHub](.\u002Fdocs\u002Fimages\u002Fcsghub_framework.png)\n\n### Key Features\n\n- Unified LLMs Management\n- Extensible Development Framework\n- Advanced Model Capabilities and Optimization\n- Space and Asset Management Assistant (Copilot)\n- Multi-Source Data Synchronization and Recommendation\n- Enterprise-Level Security and Access Control\n- On-Premises Deployment Solutions\n- E2E Data Processing and Intelligent Annotation System\n- Resilient High-Availability Architecture\n\nFor further information, please see the [detailed introduction](.\u002Fdocs\u002Fdetailed_intro_en.md) of CSGHub.\n\n### Demo Video\n\nTo help users get up to speed with CSGHub, we have created a demo video that highlights its key features and how it works. You can watch it below or on [YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=6LwGQ07qBxU)\u002F[Bilibili](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1ynmxY3EXz\u002F).\n\u003Cvideo width=\"658\" height=\"432\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F04f9fa17-9294-44c1-8c4a-4d7b9a5c66fa\">\u003C\u002Fvideo>\n\n### Quick Start\n\n- For those looking to quickly explore, experiment with CSGHub's free SaaS version on the [OpenCSG website](https:\u002F\u002Fopencsg.com). Refer to this [brief quick start guide](.\u002Fdocs\u002Fcsghub_saas_en.md) to handle LLMs\u002Fdatasets and deploy LLM applications with CSGHub SaaS interface.\n\n- **For users seeking further practice:** Please refer to the [CSGHub official documentation](https:\u002F\u002Fopencsg.com\u002Fdocs\u002Fcsghub\u002F101\u002Fintroduction). The documentation currently provides installation methods using [Docker Compose](https:\u002F\u002Fopencsg.com\u002Fdocs\u002Fen\u002Fcsghub\u002F101\u002Finstall\u002Fdocker\u002Foverview) and [Helm Chart](https:\u002F\u002Fopencsg.com\u002Fdocs\u002Fen\u002Fcsghub\u002F101\u002Finstall\u002Fkubernetes\u002Foverview).\n\n    _For more information and advanced tutorials, please refer to the [OpenCSG Documentation Center](https:\u002F\u002Fopencsg.com\u002Fdocs\u002Fintro)._\n\n\n### Quick Try\n\n[![one-click deployment on Ali marketplace](https:\u002F\u002Fimg.alicdn.com\u002Fimgextra\u002Fi1\u002FO1CN01YT0adL1pi2znO6BAJ_!!6000000005393-55-tps-208-40.svg)](https:\u002F\u002Fmarket.aliyun.com\u002Fproducts\u002F56014009\u002Fcmgj00068499.html?source=5176.29345612&userCode=swc743za)\n\n### Roadmap\n\nDiscover the [roadmap](.\u002Fdocs\u002Froadmap_en.md) outlining CSGHub's future direction.\n\n### Release Notes\n\nRefer to [release notes](.\u002Fdocs\u002Frelease_notes.md) for information on feature improvements.\n\n### Meetings & Contributing\n\nWe warmly invite you to explore the [OpenCSG Community](https:\u002F\u002Fgithub.com\u002FOpenCSGs\u002Fcommunity), where you'll find comprehensive guides on becoming a vital part of the project.\n\n- The process for joining [community meetings](https:\u002F\u002Fgithub.com\u002FOpenCSGs\u002Fcommunity?tab=readme-ov-file#community-meeting), where you can engage with fellow members and share your ideas.\n- Refer to the [contribution guide](https:\u002F\u002Fgithub.com\u002FOpenCSGs\u002Fcommunity\u002Fblob\u002Fmain\u002Fguidelines\u002FCONTRIBUTING_en.md) for strategies on how to contribute to the project.\n- [Contact us](https:\u002F\u002Fgithub.com\u002FOpenCSGs\u002Fcommunity?tab=readme-ov-file#questions-and-issues) for any questions or issues, ensuring you're always supported throughout your journey with OpenCSG.\n- Refer to the [development guide](.\u002Fdocs\u002Fsetup_en.md) for instructions on setting up the development environment.\n","CSGHub是由OpenCSG团队开发的一个全新的开源平台，专注于管理和部署大型语言模型（LLM）。其核心功能包括统一管理LLM、数据集及代理，支持通过Web界面、Git命令行或Python SDK进行操作，并提供与Hugging Face兼容的解决方案。此外，CSGHub具备微服务子模块和标准化OpenAPI，便于集成到现有系统中，同时支持企业级安全控制与本地部署选项，确保数据隐私与安全性。该平台非常适合需要高效管理和优化LLM的企业或研究机构使用，在保障数据安全的同时提高工作效率。",2,"2026-06-11 03:19:19","top_language"]