---
title: "llm-app vs Robby-chatbot"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/pathwaycom-llm-app-vs-yvann-ba-robby-chatbot"
tools: ["pathwaycom-llm-app", "yvann-ba-robby-chatbot"]
---

# llm-app vs Robby-chatbot

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick llm-app when llm-app is primarily Jupyter Notebook; Robby-chatbot is Python; pick Robby-chatbot when robby-chatbot is primarily Python; llm-app is Jupyter Notebook.

[llm-app](https://pathway.com/developers/templates/) reports 59k GitHub stars, 1.4k forks, and 10 open issues, last pushed Jul 5, 2026. [Robby-chatbot](https://robby-chatbot.streamlit.app/) has 816 stars, 286 forks, and 1 open issues, last pushed Feb 21, 2026. Figures are from public GitHub metadata via [llm-app's repository](https://github.com/pathwaycom/llm-app) and [Robby-chatbot's repository](https://github.com/yvann-ba/Robby-chatbot).

| | [llm-app](/tools/pathwaycom-llm-app.md) | [Robby-chatbot](/tools/yvann-ba-robby-chatbot.md) |
| --- | --- | --- |
| Tagline | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. | AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡ |
| Stars | 59,068 | 816 |
| Forks | 1,432 | 286 |
| Open issues | 10 | 1 |
| Language | Jupyter Notebook | Python |
| Adopt for | 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 | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Data & Retrieval, LLM Frameworks, Vector Databases | LLM Frameworks, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [llm-app](/tools/pathwaycom-llm-app.md) | [Robby-chatbot](/tools/yvann-ba-robby-chatbot.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 5d | 140d |
| Open issues (now) | 10 | 1 |
| Owner type | Organization | User |
| Security scan | No lockfile | 47 low (47 low) |
| Full report | [trust report](/tools/pathwaycom-llm-app/trust.md) | [trust report](/tools/yvann-ba-robby-chatbot/trust.md) |

## Decision facts: llm-app

- **Requirements:** Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.
- **Adopt for:** 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

## Choose when

### Choose llm-app if…

- llm-app is primarily Jupyter Notebook; Robby-chatbot is Python.
- License: llm-app is MIT, Robby-chatbot is Apache-2.0.
- 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: hugging-face, llm, retrieval-augmented-generation, vector-database.
- 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.

### Choose Robby-chatbot if…

- Robby-chatbot is primarily Python; llm-app is Jupyter Notebook.
- License: Robby-chatbot is Apache-2.0, llm-app is MIT.
- Tags unique to Robby-chatbot: ai, gpt-4, langchain, nlp.

## 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.

## When NOT to use Robby-chatbot

- Last GitHub push was 141 days ago (slowing maintenance, Feb 21, 2026). Validate activity before betting a new project on Robby-chatbot.
- 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.

## Common questions

### What is the difference between llm-app and Robby-chatbot?

llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. Robby-chatbot: AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡. See the comparison table for live GitHub stats and shared categories.

### When should I choose llm-app over Robby-chatbot?

Choose llm-app over Robby-chatbot when llm-app is primarily Jupyter Notebook; Robby-chatbot is Python; License: llm-app is MIT, Robby-chatbot is Apache-2.0; 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: hugging-face, llm, retrieval-augmented-generation, vector-database; 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 choose Robby-chatbot over llm-app?

Choose Robby-chatbot over llm-app when Robby-chatbot is primarily Python; llm-app is Jupyter Notebook; License: Robby-chatbot is Apache-2.0, llm-app is MIT; Tags unique to Robby-chatbot: ai, gpt-4, langchain, nlp.

### 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.

### When should I avoid Robby-chatbot?

Last GitHub push was 141 days ago (slowing maintenance, Feb 21, 2026). Validate activity before betting a new project on Robby-chatbot. 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.

### Is llm-app or Robby-chatbot more popular on GitHub?

llm-app has more GitHub stars (59,068 vs 816). Stars measure visibility, not whether either tool fits your constraints.

### Are llm-app and Robby-chatbot open source?

Yes - both are open-source projects on GitHub (llm-app: MIT, Robby-chatbot: Apache-2.0).

### Where can I find alternatives to llm-app or Robby-chatbot?

GraphCanon lists graph-backed alternatives at [llm-app alternatives](/tools/pathwaycom-llm-app/alternatives) and [Robby-chatbot alternatives](/tools/yvann-ba-robby-chatbot/alternatives) ([llm-app markdown twin](/tools/pathwaycom-llm-app/alternatives.md), [Robby-chatbot markdown twin](/tools/yvann-ba-robby-chatbot/alternatives.md)), 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](/compare/pathwaycom-llm-app-vs-yvann-ba-robby-chatbot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llm-app or Robby-chatbot?

llm-app: Very active. Robby-chatbot: Slowing. 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 llm-app and Robby-chatbot?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-app trust report](/tools/pathwaycom-llm-app/trust); [Robby-chatbot trust report](/tools/yvann-ba-robby-chatbot/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=pathwaycom-llm-app`](/api/graphcanon/graph?tool=pathwaycom-llm-app)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
