---
title: "llm-app vs llm-security-startups"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/pathwaycom-llm-app-vs-rushout09-llm-security-startups"
tools: ["pathwaycom-llm-app", "rushout09-llm-security-startups"]
---

# llm-app vs llm-security-startups

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick llm-app when license: llm-app is MIT, llm-security-startups is GPL-3.0; pick llm-security-startups when license: llm-security-startups is GPL-3.0, llm-app is MIT.

[llm-app](https://pathway.com/developers/templates/) reports 59k GitHub stars, 1.4k forks, and 10 open issues, last pushed Jul 5, 2026. [llm-security-startups](https://github.com/rushout09/llm-security-startups) has 15 stars, 0 forks, and 1 open issues, last pushed Nov 9, 2024. Figures are from public GitHub metadata via [llm-app's repository](https://github.com/pathwaycom/llm-app) and [llm-security-startups's repository](https://github.com/rushout09/llm-security-startups).

| | [llm-app](/tools/pathwaycom-llm-app.md) | [llm-security-startups](/tools/rushout09-llm-security-startups.md) |
| --- | --- | --- |
| Tagline | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. | An awesome and comprehensive list of LLM Securtiy Startups. |
| Stars | 59,068 | 15 |
| Forks | 1,432 | 0 |
| Open issues | 10 | 1 |
| Language | Jupyter Notebook | - |
| 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 | GPL-3.0 |
| Categories | Data & Retrieval, LLM Frameworks, Vector Databases | Data & Retrieval, Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [llm-app](/tools/pathwaycom-llm-app.md) | [llm-security-startups](/tools/rushout09-llm-security-startups.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 5d | 609d |
| Open issues (now) | 10 | 1 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/pathwaycom-llm-app/trust.md) | [trust report](/tools/rushout09-llm-security-startups/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…

- License: llm-app is MIT, llm-security-startups is GPL-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, retrieval-augmented-generation, vector-database.
- Also covers Vector Databases.
- - 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 llm-security-startups if…

- License: llm-security-startups is GPL-3.0, llm-app is MIT.
- Tags unique to llm-security-startups: ai, ai-security, artificial-intelligence, llm-security.
- Also covers Inference & Serving.

## 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 llm-security-startups

- Last GitHub push was 609 days ago (dormant maintenance, Nov 9, 2024). Validate activity before betting a new project on llm-security-startups.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between llm-app and llm-security-startups?

llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. llm-security-startups: An awesome and comprehensive list of LLM Securtiy Startups.. See the comparison table for live GitHub stats and shared categories.

### When should I choose llm-app over llm-security-startups?

Choose llm-app over llm-security-startups when License: llm-app is MIT, llm-security-startups is GPL-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, retrieval-augmented-generation, vector-database; Also covers Vector Databases; - 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 llm-security-startups over llm-app?

Choose llm-security-startups over llm-app when License: llm-security-startups is GPL-3.0, llm-app is MIT; Tags unique to llm-security-startups: ai, ai-security, artificial-intelligence, llm-security; Also covers Inference & Serving.

### 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 llm-security-startups?

Last GitHub push was 609 days ago (dormant maintenance, Nov 9, 2024). Validate activity before betting a new project on llm-security-startups. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is llm-app or llm-security-startups more popular on GitHub?

llm-app has more GitHub stars (59,068 vs 15). Stars measure visibility, not whether either tool fits your constraints.

### Are llm-app and llm-security-startups open source?

Yes - both are open-source projects on GitHub (llm-app: MIT, llm-security-startups: GPL-3.0).

### Where can I find alternatives to llm-app or llm-security-startups?

GraphCanon lists graph-backed alternatives at [llm-app alternatives](/tools/pathwaycom-llm-app/alternatives) and [llm-security-startups alternatives](/tools/rushout09-llm-security-startups/alternatives) ([llm-app markdown twin](/tools/pathwaycom-llm-app/alternatives.md), [llm-security-startups markdown twin](/tools/rushout09-llm-security-startups/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-rushout09-llm-security-startups.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llm-app or llm-security-startups?

llm-app: Very active. llm-security-startups: Dormant. 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 llm-security-startups?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-app trust report](/tools/pathwaycom-llm-app/trust); [llm-security-startups trust report](/tools/rushout09-llm-security-startups/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/_