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Comparison

llm-app vs llama-hub

Verdict

Pick llm-app if llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs; pick llama-hub if community-driven data loaders for LlamaIndex/LangChain.

Markdown twin · llm-app alternatives · llama-hub alternatives

GraphCanon updated Sep 20, 2026

7views this month

llm-app logo

llm-app

pathwaycom/llm-app

★ 59kpushed Jul 5, 2026
vs
llama-hub logo

llama-hub

run-llama/llama-hub

★ 3.5kpushed Mar 1, 2024

Trust & integrity

Signalllm-appllama-hub
Maintenance
Steady (74d since push)
As of Sep 18, 2026 · github_public_v1
Archived (920d since push)
As of Sep 8, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 8, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
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
llm-app trust reportllama-hub trust reportTrust methodology

Tagline

llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data
llama-hub
A library of data loaders for LLMs made by the community

Stars

llm-app
59k
llama-hub
3.5k

Forks

llm-app
1.5k
llama-hub
721

Open issues

llm-app
8
llama-hub
96

Language

llm-app
Jupyter Notebook
llama-hub
Jupyter Notebook

Adopt for

llm-app
llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.
llama-hub
community-driven data loaders for LlamaIndex/LangChain

Persona

llm-app
-
llama-hub
-

Runtime

llm-app
-
llama-hub
-

License

llm-app
MIT License
llama-hub
MIT

Last pushed

llm-app
Jul 5, 2026
llama-hub
Mar 1, 2024

Categories

llm-app
Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training
llama-hub
Data & Retrieval, Model Training

Trust and health

Maintenance

llm-app
Steady (60%)
llama-hub
Archived (8%)

Days since push

llm-app
74d
llama-hub
920d

Archived on GitHub

llm-app
No
llama-hub
Yes

Open issues (now)

llm-app
8
llama-hub
96

Stars delta

llm-app
-117 (30d)
llama-hub
-8 (30d)

OSV dependency advisories

llm-app
No lockfile (source not queried)
llama-hub
Published findings

Full report

llm-app
Trust report
llama-hub
Trust report

Choose llm-app if…

  • Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs..
  • Tags unique to llm-app: chatbot, hugging-face, llm, llm-local.
  • Also covers Evaluation & Observability, Inference & Serving.
  • When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti

When NOT to use llm-app

  • Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support.
  • Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
GitHubDetails

Choose llama-hub if…

  • Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex.
  • Community-specific features require engagement with community

When NOT to use llama-hub

  • Limited support if the community lacks activity
  • Not suitable without familiarity with Poetry for dependency management
GitHubDetails

Explore

llm-app trust report →llama-hub trust report →Data & Retrieval category →Evaluation & Observability category →Inference & Serving category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: llm-app 59k · llama-hub 3.5k (synced Sep 20, 2026).

Common questions

What is the difference between llm-app and llama-hub?
llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. llama-hub: A library of data loaders for LLMs made by the community. See the comparison table for live GitHub stats and shared categories.
When should I choose llm-app over llama-hub?
Choose llm-app over llama-hub when Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.; Tags unique to llm-app: chatbot, hugging-face, llm, llm-local; Also covers Evaluation & Observability, Inference & Serving; When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti.
When should I choose llama-hub over llm-app?
Choose llama-hub over llm-app when Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex; Community-specific features require engagement with community.
When should I avoid llm-app?
Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support. Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
When should I avoid llama-hub?
Limited support if the community lacks activity Not suitable without familiarity with Poetry for dependency management
Is llm-app or llama-hub more popular on GitHub?
llm-app has more GitHub stars (58,920 vs 3,461). Stars measure visibility, not whether either tool fits your constraints.
Are llm-app and llama-hub open source?
Yes - both are open-source projects on GitHub (llm-app: MIT, llama-hub: MIT).
Where can I find alternatives to llm-app or llama-hub?
GraphCanon lists graph-backed alternatives at llm-app alternatives and llama-hub alternatives (llm-app markdown twin, llama-hub 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, llm-app or llama-hub?
llm-app: Steady. llama-hub: Archived. 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 llm-app and llama-hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-app trust report; llama-hub trust report.

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