Home/Compare/BodhiApp vs wllama

Comparison

BodhiApp vs wllama

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 wllama if webAssembly bindings for browser-based inference of llama.cpp.

Markdown twin · BodhiApp alternatives · wllama alternatives

GraphCanon updated Sep 20, 2026

14views this month

BodhiApp logo

BodhiApp

BodhiSearch/BodhiApp

★ 139pushed Sep 20, 2026
vs
wllama logo

wllama

ngxson/wllama

★ 1.2kpushed Sep 6, 2026

Trust & integrity

SignalBodhiAppwllama
Maintenance
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 7, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 7, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 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

Tagline

BodhiApp
Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
wllama
WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

Stars

BodhiApp
139
wllama
1.2k

Forks

BodhiApp
11
wllama
121

Open issues

BodhiApp
12
wllama
47

Language

BodhiApp
TypeScript
wllama
TypeScript

Adopt for

BodhiApp
BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
wllama
WebAssembly bindings for browser-based inference of llama.cpp.

Persona

BodhiApp
-
wllama
-

Runtime

BodhiApp
-
wllama
-

License

BodhiApp
The license information for BodhiApp has not been provided.
wllama
MIT

Last pushed

BodhiApp
Sep 20, 2026
wllama
Sep 6, 2026

Categories

BodhiApp
Inference & Serving, LLM Frameworks
wllama
Inference & Serving

Trust and health

Open issues (now)

BodhiApp
12
wllama
47

Stars delta

BodhiApp
+3 (30d)
wllama
+37 (30d)

Open issues delta

BodhiApp
+2 (30d)
wllama
-6 (30d)

Owner type

BodhiApp
Organization
wllama
User

OSV dependency advisories

BodhiApp
No lockfile (source not queried)
wllama
Published findings

Full report

BodhiApp
Trust report

Choose BodhiApp if…

  • 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, local-llm, localllm.
  • 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 wllama if…

  • Tags unique to wllama: llamacpp, wasm, webassembly.
  • Need browser-based LLM inference directly through WebAssembly.
  • More GitHub stars (1.2k vs 139) - visibility, not fit.

When NOT to use wllama

  • Require direct native execution speed benefits unavailable in a WebAssembly context.
  • Developing server-side applications without the need for client-side inference capabilities.

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 139 · wllama 1.2k (synced Sep 20, 2026).

Common questions

What is the difference between BodhiApp and wllama?
BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. See the comparison table for live GitHub stats and shared categories.
When should I choose BodhiApp over wllama?
Choose BodhiApp over wllama when 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, local-llm, localllm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
When should I choose wllama over BodhiApp?
Choose wllama over BodhiApp when Tags unique to wllama: llamacpp, wasm, webassembly; Need browser-based LLM inference directly through WebAssembly; More GitHub stars (1.2k vs 139) - visibility, not fit.
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 wllama?
Require direct native execution speed benefits unavailable in a WebAssembly context. Developing server-side applications without the need for client-side inference capabilities.
Is BodhiApp or wllama more popular on GitHub?
wllama has more GitHub stars (1,196 vs 139). Stars measure visibility, not whether either tool fits your constraints.
Are BodhiApp and wllama open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to BodhiApp or wllama?
GraphCanon lists graph-backed alternatives at BodhiApp alternatives and wllama alternatives (BodhiApp markdown twin, wllama 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 wllama?
BodhiApp: Very active. wllama: 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 wllama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; wllama trust report.

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