---
title: "Awesome-Code-LLM vs llm-security-startups"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/huybery-awesome-code-llm-vs-rushout09-llm-security-startups"
tools: ["huybery-awesome-code-llm", "rushout09-llm-security-startups"]
---

# Awesome-Code-LLM vs llm-security-startups

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick Awesome-Code-LLM if awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers; pick llm-security-startups if llm-security-startups offers a curated list of startups dedicated to securing Large Language Models, focusing on real-time monitoring, data-flow management, and protection against prompt injection attacks.

[Awesome-Code-LLM](https://github.com/huybery/Awesome-Code-LLM) reports 1.3k GitHub stars, 74 forks, and 4 open issues, last pushed Dec 10, 2024. [llm-security-startups](https://github.com/rushout09/llm-security-startups) has 15 stars, 1 forks, and 2 open issues, last pushed Nov 9, 2024. Figures are from public GitHub metadata via [Awesome-Code-LLM's repository](https://github.com/huybery/Awesome-Code-LLM) and [llm-security-startups's repository](https://github.com/rushout09/llm-security-startups).

| | [Awesome-Code-LLM](/tools/huybery-awesome-code-llm.md) | [llm-security-startups](/tools/rushout09-llm-security-startups.md) |
| --- | --- | --- |
| Tagline | 👨💻 An awesome and curated list of best code-LLM for research. | An awesome and comprehensive list of LLM Security Startups |
| Stars | 1,291 | 15 |
| Forks | 74 | 1 |
| Open issues | 4 | 2 |
| Language | - | - |
| Adopt for | Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers. | llm-security-startups offers a curated list of startups dedicated to securing Large Language Models, focusing on real-time monitoring, data-flow management, and protection against prompt injection attacks. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions. | GPL-3.0 |
| Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability |

## Trust and health

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

| | [Awesome-Code-LLM](/tools/huybery-awesome-code-llm.md) | [llm-security-startups](/tools/rushout09-llm-security-startups.md) |
| --- | --- | --- |
| Days since push | 604d | 633d |
| Open issues (now) | 4 | 2 |
| Full report | [trust report](/tools/huybery-awesome-code-llm/trust.md) | [trust report](/tools/rushout09-llm-security-startups/trust.md) |

## Decision facts: Awesome-Code-LLM

- **Requirements:** No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.
- **Adopt for:** Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers.
- **License detail:** MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions.

## Decision facts: llm-security-startups

- **Adopt for:** llm-security-startups offers a curated list of startups dedicated to securing Large Language Models, focusing on real-time monitoring, data-flow management, and protection against prompt injection attacks.

## Choose when

### Choose Awesome-Code-LLM if…

- License: Awesome-Code-LLM is MIT, llm-security-startups is GPL-3.0.
- Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs..
- Tags unique to Awesome-Code-LLM: awesome, code generation, large language models.
- Also covers LLM Frameworks.
- When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.

### Choose llm-security-startups if…

- License: llm-security-startups is GPL-3.0, Awesome-Code-LLM is MIT.
- Tags unique to llm-security-startups: ai-security, llm security.
- When you need comprehensive security for AI applications that include features like real-time monitoring, as provided by Lasso Security within the llm-security-startups list.

## When NOT to use Awesome-Code-LLM

- When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision.
- If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality.
- In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering

## When NOT to use llm-security-startups

- Do not use if you are looking for a generic cybersecurity service that does not specialize in Large Language Models or AI red-teaming, which llm-security-startups focuses on.
- Avoid if your specific need is solely related to data privacy and compliance issues without an emphasis on real-time monitoring or prompt injection protection.

## Common questions

### What is the difference between Awesome-Code-LLM and llm-security-startups?

Awesome-Code-LLM: 👨💻 An awesome and curated list of best code-LLM for research.. llm-security-startups: An awesome and comprehensive list of LLM Security Startups. See the comparison table for live GitHub stats and shared categories.

### When should I choose Awesome-Code-LLM over llm-security-startups?

Choose Awesome-Code-LLM over llm-security-startups when License: Awesome-Code-LLM is MIT, llm-security-startups is GPL-3.0; Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.; Tags unique to Awesome-Code-LLM: awesome, code generation, large language models; Also covers LLM Frameworks; When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.

### When should I choose llm-security-startups over Awesome-Code-LLM?

Choose llm-security-startups over Awesome-Code-LLM when License: llm-security-startups is GPL-3.0, Awesome-Code-LLM is MIT; Tags unique to llm-security-startups: ai-security, llm security; When you need comprehensive security for AI applications that include features like real-time monitoring, as provided by Lasso Security within the llm-security-startups list.

### When should I avoid Awesome-Code-LLM?

When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering

### When should I avoid llm-security-startups?

Do not use if you are looking for a generic cybersecurity service that does not specialize in Large Language Models or AI red-teaming, which llm-security-startups focuses on. Avoid if your specific need is solely related to data privacy and compliance issues without an emphasis on real-time monitoring or prompt injection protection.

### Is Awesome-Code-LLM or llm-security-startups more popular on GitHub?

Awesome-Code-LLM has more GitHub stars (1,291 vs 15). Stars measure visibility, not whether either tool fits your constraints.

### Are Awesome-Code-LLM and llm-security-startups open source?

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

### Where can I find alternatives to Awesome-Code-LLM or llm-security-startups?

GraphCanon lists graph-backed alternatives at [Awesome-Code-LLM alternatives](/tools/huybery-awesome-code-llm/alternatives) and [llm-security-startups alternatives](/tools/rushout09-llm-security-startups/alternatives) ([Awesome-Code-LLM markdown twin](/tools/huybery-awesome-code-llm/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/huybery-awesome-code-llm-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, Awesome-Code-LLM or llm-security-startups?

Awesome-Code-LLM: Dormant. 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 Awesome-Code-LLM and llm-security-startups?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-Code-LLM trust report](/tools/huybery-awesome-code-llm/trust); [llm-security-startups trust report](/tools/rushout09-llm-security-startups/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=huybery-awesome-code-llm`](/api/graphcanon/graph?tool=huybery-awesome-code-llm)
- 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/_