Comparison
llama-hub vs awesome
Verdict
Pick llama-hub when license: llama-hub is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, llama-hub is MIT.
Markdown twin · llama-hub alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | llama-hub | awesome |
|---|---|---|
| Maintenance | Archived (861d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 121 low (121 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- llama-hub
- A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- llama-hub
- 3.5k
- awesome
- 484k
Forks
- llama-hub
- 719
- awesome
- 36k
Open issues
- llama-hub
- 96
- awesome
- 92
Language
- llama-hub
- Jupyter Notebook
- awesome
- -
Adopt for
- llama-hub
- -
- awesome
- -
Persona
- llama-hub
- -
- awesome
- -
Runtime
- llama-hub
- -
- awesome
- -
License
- llama-hub
- MIT
- awesome
- CC0-1.0
Last pushed
- llama-hub
- Mar 1, 2024
- awesome
- Jun 30, 2026
Categories
- llama-hub
- Data & Retrieval, LLM Frameworks, Evaluation & Observability
- awesome
- LLM Frameworks
Trust and health
Maintenance
- llama-hub
- Archived (8%)
- awesome
- Active (82%)
Days since push
- llama-hub
- 861d
- awesome
- 11d
Archived on GitHub
- llama-hub
- Yes
- awesome
- No
Open issues (now)
- llama-hub
- 96
- awesome
- 92
Owner type
- llama-hub
- Organization
- awesome
- User
Security scan
- llama-hub
- 121 low (121 low)
- awesome
- No lockfile
Full report
- llama-hub
- Trust report
- awesome
- Trust report
Choose llama-hub if…
- License: llama-hub is MIT, awesome is CC0-1.0.
- Tags unique to llama-hub: jupyter notebook.
- Also covers Data & Retrieval, Evaluation & Observability.
When NOT to use 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.
Choose awesome if…
- License: awesome is CC0-1.0, llama-hub is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 3.5k) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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-hub) · observed Jul 11, 2026
- GitHub forks (run-llama/llama-hub) · observed Jul 11, 2026
- Last push (run-llama/llama-hub) · observed Mar 1, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llama-hub 3.5k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between llama-hub and awesome?
- llama-hub: A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose llama-hub over awesome?
- Choose llama-hub over awesome when License: llama-hub is MIT, awesome is CC0-1.0; Tags unique to llama-hub: jupyter notebook; Also covers Data & Retrieval, Evaluation & Observability.
- When should I choose awesome over llama-hub?
- Choose awesome over llama-hub when License: awesome is CC0-1.0, llama-hub is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 3.5k) - visibility, not fit.
- 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.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is llama-hub or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 3,473). Stars measure visibility, not whether either tool fits your constraints.
- Are llama-hub and awesome open source?
- Yes - both are open-source projects on GitHub (llama-hub: MIT, awesome: CC0-1.0).
- Where can I find alternatives to llama-hub or awesome?
- GraphCanon lists graph-backed alternatives at llama-hub alternatives and awesome alternatives (llama-hub markdown twin, awesome 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-hub or awesome?
- llama-hub: Archived. awesome: 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-hub and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llama-hub trust report; awesome trust report.