llm-app vs llama-hub

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 -- to be used with LlamaIndex and/or LangChain. 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 Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: vector-database, llm, hugging-face, retrieval-augmented-generation; Also covers Vector Databases; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.

When should I choose llama-hub over llm-app?

Choose llama-hub over llm-app when Tags unique to llama-hub: jupyter notebook; Also covers Evaluation & Observability.

When should I avoid llm-app?

- You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.

When should I avoid llama-hub?

llama-hub is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Is llm-app or llama-hub more popular on GitHub?

llm-app has more GitHub stars (59,068 vs 3,473). 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: Very active. 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.