---
title: "llama_cloud_services vs awesome-llm-apps"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/run-llama-llama-cloud-services-vs-shubhamsaboo-awesome-llm-apps"
tools: ["run-llama-llama-cloud-services", "shubhamsaboo-awesome-llm-apps"]
---

# llama_cloud_services vs awesome-llm-apps

*GraphCanon updated Aug 7, 2026*

## Verdict

Pick llama_cloud_services if llama Cloud Services is poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration to updated versions,如; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy.

[llama_cloud_services](https://cloud.llamaindex.ai) reports 4.3k GitHub stars, 467 forks, and 366 open issues, last pushed May 18, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 131k stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [llama_cloud_services's repository](https://github.com/run-llama/llama_cloud_services) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps).

| | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Tagline | Knowledge Agents and Management in the Cloud | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. |
| Stars | 4,258 | 131,230 |
| Forks | 467 | 19,346 |
| Open issues | 366 | 13 |
| Language | TypeScript | Python |
| Adopt for | Llama Cloud Services is poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration to updated versions,如 | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. |
| Persona | - | - |
| Runtime | - | - |
| License | Llama Cloud Services采用MIT许可证，这意味着它开源且允许自由使用、修改和分发。 | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. |
| Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval |

## Trust and health

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

| | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 74d | 4d |
| Open issues (now) | 366 | 13 |
| Stars delta | Unknown | +14k (30d) |
| Open issues delta | Unknown | +6 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/run-llama-llama-cloud-services/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) |

## Shared compatibility

- **Node.js**: [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) - Node.js runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Node.js runtime
- **Python**: [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) - Python runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Python runtime

## Decision facts: llama_cloud_services

- **Pricing:** unknown - 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。
- **Requirements:** - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python
- **Adopt for:** Llama Cloud Services is poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration to updated versions,如
- **License detail:** Llama Cloud Services采用MIT许可证，这意味着它开源且允许自由使用、修改和分发。

## Decision facts: awesome-llm-apps

- **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed.
- **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
- **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.

## Choose when

### Choose llama_cloud_services if…

- llama_cloud_services is primarily TypeScript; awesome-llm-apps is Python.
- License: llama_cloud_services is MIT, awesome-llm-apps is Apache-2.0.
- Pricing: 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。.
- Requirements: - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python.
- Tags unique to llama_cloud_services: document-parser, pdf, structured-data.
- - 需要云基知识代理解决方案，特别是文档解析能力的情况下

### Choose awesome-llm-apps if…

- awesome-llm-apps is primarily Python; llama_cloud_services is TypeScript.
- License: awesome-llm-apps is Apache-2.0, llama_cloud_services is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.

## When NOT to use llama_cloud_services

- - ，`llama-cloud-py``@llamaindex/llama-cloud`

## When NOT to use awesome-llm-apps

- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.

## Common questions

### What is the difference between llama_cloud_services and awesome-llm-apps?

llama_cloud_services: Knowledge Agents and Management in the Cloud. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.

### When should I choose llama_cloud_services over awesome-llm-apps?

Choose llama_cloud_services over awesome-llm-apps when llama_cloud_services is primarily TypeScript; awesome-llm-apps is Python; License: llama_cloud_services is MIT, awesome-llm-apps is Apache-2.0; Pricing: 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。; Requirements: - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python; Tags unique to llama_cloud_services: document-parser, pdf, structured-data; - 需要云基知识代理解决方案，特别是文档解析能力的情况下.

### When should I choose awesome-llm-apps over llama_cloud_services?

Choose awesome-llm-apps over llama_cloud_services when awesome-llm-apps is primarily Python; llama_cloud_services is TypeScript; License: awesome-llm-apps is Apache-2.0, llama_cloud_services is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.

### When should I avoid llama_cloud_services?

- ，`llama-cloud-py``@llamaindex/llama-cloud`

### When should I avoid awesome-llm-apps?

If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.

### Is llama_cloud_services or awesome-llm-apps more popular on GitHub?

awesome-llm-apps has more GitHub stars (131,230 vs 4,258). Stars measure visibility, not whether either tool fits your constraints.

### Are llama_cloud_services and awesome-llm-apps open source?

Yes - both are open-source projects on GitHub (llama_cloud_services: MIT, awesome-llm-apps: Apache-2.0).

### Where can I find alternatives to llama_cloud_services or awesome-llm-apps?

GraphCanon lists graph-backed alternatives at [llama_cloud_services alternatives](/tools/run-llama-llama-cloud-services/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([llama_cloud_services markdown twin](/tools/run-llama-llama-cloud-services/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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/run-llama-llama-cloud-services-vs-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llama_cloud_services or awesome-llm-apps?

llama_cloud_services: Steady. awesome-llm-apps: 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 llama_cloud_services and awesome-llm-apps?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama_cloud_services trust report](/tools/run-llama-llama-cloud-services/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=run-llama-llama-cloud-services`](/api/graphcanon/graph?tool=run-llama-llama-cloud-services)
- 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/_