Comparison
awesome-local-llm vs LLM-Hub
Verdict
Pick awesome-local-llm if awesome-local-llm is a curated list of resources for the local operation of large language models; pick LLM-Hub if local AI assistant for mobile phones via C++, supports multiple models.
Markdown twin · awesome-local-llm alternatives · LLM-Hub alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | awesome-local-llm | LLM-Hub |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 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
- awesome-local-llm
- Resources for running LLMs locally
- LLM-Hub
- Local AI Assistant on your phone
Stars
- awesome-local-llm
- 2.9k
- LLM-Hub
- 588
Forks
- awesome-local-llm
- 388
- LLM-Hub
- 124
Open issues
- awesome-local-llm
- 169
- LLM-Hub
- 38
Language
- awesome-local-llm
- -
- LLM-Hub
- C++
Adopt for
- awesome-local-llm
- awesome-local-llm is a curated list of resources for the local operation of large language models.
- LLM-Hub
- Local AI assistant for mobile phones via C++, supports multiple models.
Persona
- awesome-local-llm
- -
- LLM-Hub
- -
Runtime
- awesome-local-llm
- -
- LLM-Hub
- -
License
- awesome-local-llm
- MIT License
- LLM-Hub
- Other
Last pushed
- awesome-local-llm
- Sep 13, 2026
- LLM-Hub
- Sep 19, 2026
Categories
- awesome-local-llm
- Inference & Serving
- LLM-Hub
- Developer Tools, Inference & Serving
Trust and health
Days since push
- awesome-local-llm
- 6d
- LLM-Hub
- 0d
Open issues (now)
- awesome-local-llm
- 169
- LLM-Hub
- 38
Stars delta
- awesome-local-llm
- +351 (30d)
- LLM-Hub
- +74 (30d)
Open issues delta
- awesome-local-llm
- +40 (30d)
- LLM-Hub
- +7 (30d)
Full report
- awesome-local-llm
- Trust report
- LLM-Hub
- Trust report
Choose awesome-local-llm if…
- License: awesome-local-llm is MIT, LLM-Hub is Other.
- Pricing: The list itself is free and open-source under the MIT license..
- Requirements: Technical skill in setting up a self-hosted large language model environment is necessary.
- Tags unique to awesome-local-llm: awesome-list, llm, local-ai, self-hosted.
- - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options
When NOT to use awesome-local-llm
- - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links
- - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources
Choose LLM-Hub if…
- License: LLM-Hub is Other, awesome-local-llm is MIT.
- Tags unique to LLM-Hub: gemma3, gemma3n, gemma4, gemma4-agent-skills.
- Also covers Developer Tools.
- You need local deployment of LLMs on mobile devices without relying on cloud services.
When NOT to use LLM-Hub
- Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally.
- If your application is not compatible with or cannot be adapted to a C++ environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (rafska/awesome-local-llm) · observed Sep 20, 2026
- GitHub forks (rafska/awesome-local-llm) · observed Sep 20, 2026
- Last push (rafska/awesome-local-llm) · observed Sep 13, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (timmyy123/LLM-Hub) · observed Sep 20, 2026
- GitHub forks (timmyy123/LLM-Hub) · observed Sep 20, 2026
- Last push (timmyy123/LLM-Hub) · observed Sep 19, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-local-llm 2.9k · LLM-Hub 588 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-local-llm and LLM-Hub?
- awesome-local-llm: Resources for running LLMs locally. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-local-llm over LLM-Hub?
- Choose awesome-local-llm over LLM-Hub when License: awesome-local-llm is MIT, LLM-Hub is Other; Pricing: The list itself is free and open-source under the MIT license.; Requirements: Technical skill in setting up a self-hosted large language model environment is necessary; Tags unique to awesome-local-llm: awesome-list, llm, local-ai, self-hosted; - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options.
- When should I choose LLM-Hub over awesome-local-llm?
- Choose LLM-Hub over awesome-local-llm when License: LLM-Hub is Other, awesome-local-llm is MIT; Tags unique to LLM-Hub: gemma3, gemma3n, gemma4, gemma4-agent-skills; Also covers Developer Tools; You need local deployment of LLMs on mobile devices without relying on cloud services.
- When should I avoid awesome-local-llm?
- - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources
- When should I avoid LLM-Hub?
- Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally. If your application is not compatible with or cannot be adapted to a C++ environment.
- Is awesome-local-llm or LLM-Hub more popular on GitHub?
- awesome-local-llm has more GitHub stars (2,869 vs 588). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-local-llm and LLM-Hub open source?
- Yes - both are open-source projects on GitHub (awesome-local-llm: MIT, LLM-Hub: Other).
- Where can I find alternatives to awesome-local-llm or LLM-Hub?
- GraphCanon lists graph-backed alternatives at awesome-local-llm alternatives and LLM-Hub alternatives (awesome-local-llm markdown twin, LLM-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, awesome-local-llm or LLM-Hub?
- awesome-local-llm: Very active. LLM-Hub: 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 awesome-local-llm and LLM-Hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-local-llm trust report; LLM-Hub trust report.