Home/Compare/llama_cloud_services vs awesome-llm-apps

Comparison

llama_cloud_services vs awesome-llm-apps

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.

Markdown twin · llama_cloud_services alternatives · awesome-llm-apps alternatives

GraphCanon updated 2w

llama_cloud_services logo

llama_cloud_services

run-llama/llama_cloud_services

4.3kpushed May 18, 2026
vs
awesome-llm-apps logo

awesome-llm-apps

Shubhamsaboo/awesome-llm-apps

131kpushed Aug 3, 2026

Trust & integrity

Signalllama_cloud_servicesawesome-llm-apps
Maintenance
Steady (74d since push)
As of 2w · github_public_v1
Very active (4d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

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.

Stars

llama_cloud_services
4.3k
awesome-llm-apps
131k

Forks

llama_cloud_services
467
awesome-llm-apps
19k

Open issues

llama_cloud_services
366
awesome-llm-apps
13

Language

llama_cloud_services
TypeScript
awesome-llm-apps
Python

Adopt for

llama_cloud_services
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
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

llama_cloud_services
-
awesome-llm-apps
-

Runtime

llama_cloud_services
-
awesome-llm-apps
-

License

llama_cloud_services
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。
awesome-llm-apps
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.

Last pushed

llama_cloud_services
May 18, 2026
awesome-llm-apps
Aug 3, 2026

Categories

llama_cloud_services
AI Agents, Data & Retrieval
awesome-llm-apps
AI Agents, Data & Retrieval

Trust and health

Maintenance

llama_cloud_services
Steady (60%)
awesome-llm-apps
Very active (96%)

Days since push

llama_cloud_services
74d
awesome-llm-apps
4d

Open issues (now)

llama_cloud_services
366
awesome-llm-apps
13

Stars delta

llama_cloud_services
Unknown
awesome-llm-apps
+14k (30d)

Open issues delta

llama_cloud_services
Unknown
awesome-llm-apps
+6 (30d)

Owner type

llama_cloud_services
Organization
awesome-llm-apps
User

OSV dependency advisories

llama_cloud_services
No published findings from this source as of 2026-07-11
awesome-llm-apps
No lockfile (source not queried)

Full report

llama_cloud_services
Trust report
awesome-llm-apps
Trust report

Shared compatibility

  • Node.js · llama_cloud_services: Node.js runtime · awesome-llm-apps: Node.js runtime
  • Python · llama_cloud_services: Python runtime · awesome-llm-apps: Python runtime

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

When NOT to use llama_cloud_services

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

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: llama_cloud_services 4.3k · awesome-llm-apps 131k (synced Aug 1, 2026).

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 and awesome-llm-apps alternatives (llama_cloud_services markdown twin, awesome-llm-apps markdown twin), 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 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; awesome-llm-apps trust report.

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