Comparison
ChatGPT-On-CS vs llm-app
Verdict
Pick ChatGPT-On-CS when chatGPT-On-CS is primarily TypeScript; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; ChatGPT-On-CS is TypeScript.
Markdown twin · ChatGPT-On-CS alternatives · llm-app alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ChatGPT-On-CS | llm-app |
|---|---|---|
| Maintenance | Steady (39d since push) As of today · github_public_v1 | Very active (5d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ChatGPT-On-CS
- 基于大模型的智能对话客服工具，支持微信、拼多多、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、知乎等平台接入，可选择 GPT3.5/GPT4.0/ 懒人百宝箱 （后续会支持更多平台），能处理文本、语音和图片，通过插件访问操作系统和互联网等外部资源，支持基于自有知识库定制企业 AI 应用。
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- ChatGPT-On-CS
- 4.2k
- llm-app
- 59k
Forks
- ChatGPT-On-CS
- 533
- llm-app
- 1.4k
Open issues
- ChatGPT-On-CS
- 3
- llm-app
- 10
Language
- ChatGPT-On-CS
- TypeScript
- llm-app
- Jupyter Notebook
Adopt for
- ChatGPT-On-CS
- -
- llm-app
- llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz
Persona
- ChatGPT-On-CS
- -
- llm-app
- -
Runtime
- ChatGPT-On-CS
- -
- llm-app
- -
License
- ChatGPT-On-CS
- AGPL-3.0
- llm-app
- MIT
Last pushed
- ChatGPT-On-CS
- Jun 6, 2026
- llm-app
- Jul 5, 2026
Categories
- ChatGPT-On-CS
- LLM Frameworks, Vector Databases
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- ChatGPT-On-CS
- Steady (60%)
- llm-app
- Very active (96%)
Days since push
- ChatGPT-On-CS
- 39d
- llm-app
- 5d
Open issues (now)
- ChatGPT-On-CS
- 3
- llm-app
- 10
Full report
- ChatGPT-On-CS
- Trust report
- llm-app
- Trust report
Choose ChatGPT-On-CS if…
- ChatGPT-On-CS is primarily TypeScript; llm-app is Jupyter Notebook.
- License: ChatGPT-On-CS is AGPL-3.0, llm-app is MIT.
- Tags unique to ChatGPT-On-CS: ai, autohotkey, automation, bilibili.
When NOT to use ChatGPT-On-CS
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; ChatGPT-On-CS is TypeScript.
- License: llm-app is MIT, ChatGPT-On-CS is AGPL-3.0.
- Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
- Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation.
- Also covers Data & Retrieval.
- - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When NOT to use llm-app
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
- - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cs-lazy-tools/ChatGPT-On-CS) · observed Jul 15, 2026
- GitHub forks (cs-lazy-tools/ChatGPT-On-CS) · observed Jul 15, 2026
- Last push (cs-lazy-tools/ChatGPT-On-CS) · observed Jun 6, 2026
- License file (AGPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (pathwaycom/llm-app) · observed Jul 11, 2026
- GitHub forks (pathwaycom/llm-app) · observed Jul 11, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatGPT-On-CS 4.2k · llm-app 59k (synced Jul 15, 2026).
Common questions
- What is the difference between ChatGPT-On-CS and llm-app?
- ChatGPT-On-CS: 基于大模型的智能对话客服工具，支持微信、拼多多、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、知乎等平台接入，可选择 GPT3.5/GPT4.0/ 懒人百宝箱 （后续会支持更多平台），能处理文本、语音和图片，通过插件访问操作系统和互联网等外部资源，支持基于自有知识库定制企业 AI 应用。. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatGPT-On-CS over llm-app?
- Choose ChatGPT-On-CS over llm-app when ChatGPT-On-CS is primarily TypeScript; llm-app is Jupyter Notebook; License: ChatGPT-On-CS is AGPL-3.0, llm-app is MIT; Tags unique to ChatGPT-On-CS: ai, autohotkey, automation, bilibili.
- When should I choose llm-app over ChatGPT-On-CS?
- Choose llm-app over ChatGPT-On-CS when llm-app is primarily Jupyter Notebook; ChatGPT-On-CS is TypeScript; License: llm-app is MIT, ChatGPT-On-CS is AGPL-3.0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers Data & Retrieval; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
- When should I avoid ChatGPT-On-CS?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid llm-app?
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
- Is ChatGPT-On-CS or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 4,185). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatGPT-On-CS and llm-app open source?
- Yes - both are open-source projects on GitHub (ChatGPT-On-CS: AGPL-3.0, llm-app: MIT).
- Where can I find alternatives to ChatGPT-On-CS or llm-app?
- GraphCanon lists graph-backed alternatives at ChatGPT-On-CS alternatives and llm-app alternatives (ChatGPT-On-CS markdown twin, llm-app markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ChatGPT-On-CS or llm-app?
- ChatGPT-On-CS: Steady. llm-app: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ChatGPT-On-CS and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatGPT-On-CS trust report; llm-app trust report.