CSGHub
Some data may be outdated — see provenance labels.
CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS 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! ⭐️ observed · 2026-09-24
Health v2 · maintenance only
90/100
- Activity 95
- Release rhythm 95
- Longevity 72
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.
- gap_med: 30.0
- age_days: 1013
- days_rel: 36
- days_push: 33
- n_releases_24m: 23
Adoption not part of the score
4115 stars · 516 forks observed · 2026-09-24
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
CSGHub is an open-source, self-hostable platform for managing the full lifecycle of LLM assets including models, datasets, spaces, and agents, comparable to a private on-premise Hugging Face. It provides a web interface, git CLI, chatbot, and Python SDK with Hugging Face compatibility, plus OpenAPIs and microservice submodules for enterprise integration.
Use cases
- self-host a private hugging face alternative
- manage and version llm models and datasets on-premise
- deploy llm applications and model inference endpoints
- download and upload models via git or python sdk
- run an offline air-gapped model registry for enterprise
- sync models from hugging face to an internal platform
- fine-tune and serve open-source models like deepseek or llama
When to choose
- you need full control over model/dataset assets behind your firewall
- you want Hugging Face-compatible workflows (SDK, git) on your own infrastructure
- you need enterprise access control, on-prem deployment, and OpenAPI integration
When to avoid
- you just need a public model hub and are fine with huggingface.co
- you want a lightweight model server without asset management features
- you cannot operate a multi-service platform with docker/orchestration
Facets
application · maturity active
machine-learning llm-inference rag agent-framework web-framework api-framework self-hosted developer-tools file-upload search-engine large-language-models machine-learning artificial-intelligence self-hosted developer-tools data-science apis self-hosted cloud python model-registry huggingface-alternative llm-asset-management model-hosting dataset-management on-premise-ai openapi git-based model-deployment spaces docker web-server vue
2 sources
- readme: https://github.com/OpenCSGs/csghub · fetched 2026-09-24 · ba4c509e92f3
- homepage: https://opencsg.com · fetched 2026-08-29 · f827daad2209
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OpenCSGs/csghub | main | 90 |
| OpenCSGs/csghub-server | backend | 90 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem