Comparison
llama_cloud_services vs awesome-llm-apps
Verdict
Pick llama_cloud_services if llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages; 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 practical use cases in Python.
Markdown twin · llama_cloud_services alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | llama_cloud_services | awesome-llm-apps |
|---|---|---|
| Maintenance | Slowing (122d since push) As of Sep 18, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- 136k
Forks
- llama_cloud_services
- 465
- awesome-llm-apps
- 20k
Open issues
- llama_cloud_services
- 365
- awesome-llm-apps
- 10
Language
- llama_cloud_services
- TypeScript
- awesome-llm-apps
- Python
Adopt for
- llama_cloud_services
- Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages.
- 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
- MIT License
- 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
- Sep 2, 2026
Categories
- llama_cloud_services
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- llama_cloud_services
- Slowing (36%)
- awesome-llm-apps
- Very active (96%)
Days since push
- llama_cloud_services
- 122d
- awesome-llm-apps
- 4d
Open issues (now)
- llama_cloud_services
- 365
- awesome-llm-apps
- 10
Stars delta
- llama_cloud_services
- +9 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- llama_cloud_services
- -1 (30d)
- awesome-llm-apps
- -3 (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 2026-09-18
- 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: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided..
- Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages..
- Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown.
- Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026.
When NOT to use llama_cloud_services
- Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026.
- Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages.
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 (run-llama/llama_cloud_services) · observed Sep 20, 2026
- GitHub forks (run-llama/llama_cloud_services) · observed Sep 20, 2026
- Last push (run-llama/llama_cloud_services) · observed May 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llama_cloud_services 4.3k · awesome-llm-apps 136k (synced Sep 20, 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: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided.; Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages.; Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown; Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026.
- 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?
- Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026. Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages.
- 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 (136,444 vs 4,267). 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: Slowing. 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.