---
title: "open-llms vs awesome-generative-ai"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/eugeneyan-open-llms-vs-steven2358-awesome-generative-ai"
tools: ["eugeneyan-open-llms", "steven2358-awesome-generative-ai"]
---

# open-llms vs awesome-generative-ai

*GraphCanon updated Aug 17, 2026*

## Verdict

Pick open-llms if critical Facts for 'open-llms' Tool Usage; pick awesome-generative-ai if _awesome-generative-ai_ is a comprehensive resource list focusing on the deployment of Large Language Models (LLMs) locally, aiming to cater to users looking for offline capabilities with feature-rich interfaces.

[open-llms](https://github.com/eugeneyan/open-llms) reports 13k GitHub stars, 985 forks, and 11 open issues, last pushed Feb 13, 2025. [awesome-generative-ai](https://github.com/steven2358/awesome-generative-ai) has 13k stars, 2.0k forks, and 574 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [open-llms's repository](https://github.com/eugeneyan/open-llms) and [awesome-generative-ai's repository](https://github.com/steven2358/awesome-generative-ai).

| | [open-llms](/tools/eugeneyan-open-llms.md) | [awesome-generative-ai](/tools/steven2358-awesome-generative-ai.md) |
| --- | --- | --- |
| Tagline | A list of open LLMs available for commercial use. | A curated list of modern Generative Artificial Intelligence projects and services |
| Stars | 12,849 | 12,501 |
| Forks | 985 | 1,990 |
| Open issues | 11 | 574 |
| Language | - | - |
| Adopt for | Critical Facts for 'open-llms' Tool Usage | _awesome-generative-ai_ is a comprehensive resource list focusing on the deployment of Large Language Models (LLMs) locally, aiming to cater to users looking for offline capabilities with feature-rich interfaces. |
| Persona | - | - |
| Runtime | - | - |
| License | The repository itself is licensed under the permissive Apache-2.0 license; however, it aggregates data about various LLMs that may have differing licensing conditions including but not limited to the  | Licensed under CC0-1.0, which waives all copyright interest in its marked works worldwide. |
| Categories | LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [open-llms](/tools/eugeneyan-open-llms.md) | [awesome-generative-ai](/tools/steven2358-awesome-generative-ai.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Active (82%) |
| Days since push | 549d | 13d |
| Open issues (now) | 11 | 574 |
| Stars delta | +18 (30d) | +160 (30d) |
| Open issues delta | -2 (30d) | +106 (30d) |
| Full report | [trust report](/tools/eugeneyan-open-llms/trust.md) | [trust report](/tools/steven2358-awesome-generative-ai/trust.md) |

## Decision facts: open-llms

- **Pricing:** freemium - Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements.
- **Adopt for:** Critical Facts for 'open-llms' Tool Usage
- **License detail:** The repository itself is licensed under the permissive Apache-2.0 license; however, it aggregates data about various LLMs that may have differing licensing conditions including but not limited to the 

## Decision facts: awesome-generative-ai

- **Requirements:** Min 4 GB RAM
- **Adopt for:** _awesome-generative-ai_ is a comprehensive resource list focusing on the deployment of Large Language Models (LLMs) locally, aiming to cater to users looking for offline capabilities with feature-rich interfaces.
- **License detail:** Licensed under CC0-1.0, which waives all copyright interest in its marked works worldwide.

## Choose when

### Choose open-llms if…

- License: open-llms is Apache-2.0, awesome-generative-ai is CC0-1.0.
- Pricing: Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements..
- Tags unique to open-llms: commercial, llms.
- When you need a curated list of open-source large language models (LLMs) that are specifically licensed for commercial use.

### Choose awesome-generative-ai if…

- License: awesome-generative-ai is CC0-1.0, open-llms is Apache-2.0.
- Requirements: Min 4 GB RAM.
- Tags unique to awesome-generative-ai: ai, artificial-intelligence, awesome-list, generative-ai.
- Also covers Developer Tools, Inference & Serving.
- - When seeking **offline and comprehensive local deployment options** for large language models that require no internet access

## When NOT to use open-llms

- If you require proprietary or closed-source LLMs as this repository exclusively lists open-source models that are available for commercial use under permissive licenses such as Apache 2.0.
- For projects needing a detailed technical implementation guide of each listed LLM, since 'open-llms' acts primarily as an index rather than providing in-depth tutorials on implementing and training L4

## When NOT to use awesome-generative-ai

- - Not recommended if you need real-time online resources and services, as the focus here is on **offline deployment**
- - Avoid using it if your project heavily relies on internet-accessible APIs; _awesome-generative-ai_ emphasizes offline operational capabilities

## Common questions

### What is the difference between open-llms and awesome-generative-ai?

open-llms: A list of open LLMs available for commercial use.. awesome-generative-ai: A curated list of modern Generative Artificial Intelligence projects and services. See the comparison table for live GitHub stats and shared categories.

### When should I choose open-llms over awesome-generative-ai?

Choose open-llms over awesome-generative-ai when License: open-llms is Apache-2.0, awesome-generative-ai is CC0-1.0; Pricing: Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements.; Tags unique to open-llms: commercial, llms; When you need a curated list of open-source large language models (LLMs) that are specifically licensed for commercial use.

### When should I choose awesome-generative-ai over open-llms?

Choose awesome-generative-ai over open-llms when License: awesome-generative-ai is CC0-1.0, open-llms is Apache-2.0; Requirements: Min 4 GB RAM; Tags unique to awesome-generative-ai: ai, artificial-intelligence, awesome-list, generative-ai; Also covers Developer Tools, Inference & Serving; - When seeking **offline and comprehensive local deployment options** for large language models that require no internet access.

### When should I avoid open-llms?

If you require proprietary or closed-source LLMs as this repository exclusively lists open-source models that are available for commercial use under permissive licenses such as Apache 2.0. For projects needing a detailed technical implementation guide of each listed LLM, since 'open-llms' acts primarily as an index rather than providing in-depth tutorials on implementing and training L4

### When should I avoid awesome-generative-ai?

- Not recommended if you need real-time online resources and services, as the focus here is on **offline deployment** - Avoid using it if your project heavily relies on internet-accessible APIs; _awesome-generative-ai_ emphasizes offline operational capabilities

### Is open-llms or awesome-generative-ai more popular on GitHub?

open-llms has more GitHub stars (12,849 vs 12,501). Stars measure visibility, not whether either tool fits your constraints.

### Are open-llms and awesome-generative-ai open source?

Yes - both are open-source projects on GitHub (open-llms: Apache-2.0, awesome-generative-ai: CC0-1.0).

### Where can I find alternatives to open-llms or awesome-generative-ai?

GraphCanon lists graph-backed alternatives at [open-llms alternatives](/tools/eugeneyan-open-llms/alternatives) and [awesome-generative-ai alternatives](/tools/steven2358-awesome-generative-ai/alternatives) ([open-llms markdown twin](/tools/eugeneyan-open-llms/alternatives.md), [awesome-generative-ai markdown twin](/tools/steven2358-awesome-generative-ai/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/eugeneyan-open-llms-vs-steven2358-awesome-generative-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, open-llms or awesome-generative-ai?

open-llms: Dormant. awesome-generative-ai: 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 open-llms and awesome-generative-ai?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-llms trust report](/tools/eugeneyan-open-llms/trust); [awesome-generative-ai trust report](/tools/steven2358-awesome-generative-ai/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=eugeneyan-open-llms`](/api/graphcanon/graph?tool=eugeneyan-open-llms)
- 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/_