Home/Compare/BodhiApp vs LLM-Hub

Comparison

BodhiApp vs LLM-Hub

Verdict

Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; pick LLM-Hub if local AI assistant for mobile phones via C++, supports multiple models.

Markdown twin · BodhiApp alternatives · LLM-Hub alternatives

GraphCanon updated 1w

BodhiApp logo

BodhiApp

BodhiSearch/BodhiApp

136pushed Jul 26, 2026
vs
LLM-Hub logo

LLM-Hub

timmyy123/LLM-Hub

514pushed Jul 25, 2026

Trust & integrity

SignalBodhiAppLLM-Hub
Maintenance
Active (18d since push)
As of 1w · github_public_v1
Very active (0d since push)
As of 1mo · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Personal account
As of 1mo · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

BodhiApp
Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
LLM-Hub
Local AI Assistant on your phone

Stars

BodhiApp
136
LLM-Hub
514

Forks

BodhiApp
10
LLM-Hub
106

Open issues

BodhiApp
10
LLM-Hub
31

Language

BodhiApp
TypeScript
LLM-Hub
C++

Adopt for

BodhiApp
BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
LLM-Hub
Local AI assistant for mobile phones via C++, supports multiple models.

Persona

BodhiApp
-
LLM-Hub
-

Runtime

BodhiApp
-
LLM-Hub
-

License

BodhiApp
The license information for BodhiApp has not been provided.
LLM-Hub
Other

Last pushed

BodhiApp
Jul 26, 2026
LLM-Hub
Jul 25, 2026

Categories

BodhiApp
Inference & Serving, LLM Frameworks
LLM-Hub
Developer Tools, Inference & Serving

Trust and health

Maintenance

BodhiApp
Active (82%)
LLM-Hub
Very active (96%)

Days since push

BodhiApp
18d
LLM-Hub
0d

Open issues (now)

BodhiApp
10
LLM-Hub
31

Owner type

BodhiApp
Organization
LLM-Hub
User

Full report

BodhiApp
Trust report

Choose BodhiApp if…

  • BodhiApp is primarily TypeScript; LLM-Hub is C++.
  • Pricing: Pricing details are not mentioned in the repository data..
  • Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen..
  • Tags unique to BodhiApp: gemma, generative-ai, llama, llm.
  • Also covers LLM Frameworks.
  • You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.

When NOT to use BodhiApp

  • Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models.
  • If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods.
  • You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.

Choose LLM-Hub if…

  • LLM-Hub is primarily C++; BodhiApp is TypeScript.
  • Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4.
  • 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 on cards: BodhiApp 136 · LLM-Hub 514 (synced Aug 13, 2026).

Common questions

What is the difference between BodhiApp and LLM-Hub?
BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories.
When should I choose BodhiApp over LLM-Hub?
Choose BodhiApp over LLM-Hub when BodhiApp is primarily TypeScript; LLM-Hub is C++; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, llm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
When should I choose LLM-Hub over BodhiApp?
Choose LLM-Hub over BodhiApp when LLM-Hub is primarily C++; BodhiApp is TypeScript; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; Also covers Developer Tools; You need local deployment of LLMs on mobile devices without relying on cloud services.
When should I avoid BodhiApp?
Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.
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 BodhiApp or LLM-Hub more popular on GitHub?
LLM-Hub has more GitHub stars (514 vs 136). Stars measure visibility, not whether either tool fits your constraints.
Are BodhiApp and LLM-Hub open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to BodhiApp or LLM-Hub?
GraphCanon lists graph-backed alternatives at BodhiApp alternatives and LLM-Hub alternatives (BodhiApp 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, BodhiApp or LLM-Hub?
BodhiApp: 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 BodhiApp and LLM-Hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; LLM-Hub trust report.

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