Home/Compare/wllama vs ggrun

Comparison

wllama vs ggrun

Verdict

Pick wllama if webAssembly bindings for browser-based inference of llama.cpp; pick ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.

Markdown twin · wllama alternatives · ggrun alternatives

GraphCanon updated 1w

wllama logo

wllama

ngxson/wllama

1.2kpushed Jun 17, 2026
vs
ggrun logo

ggrun

raketenkater/ggrun

264pushed Aug 11, 2026

Trust & integrity

Signalwllamaggrun
Maintenance
Steady (51d since push)
As of 2w · github_public_v1
Very active (1d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Personal account
As of 1w · github_public_v1
OSV dependency advisories
Published findings
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

wllama
WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
ggrun
Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server

Stars

wllama
1.2k
ggrun
264

Forks

wllama
117
ggrun
14

Open issues

wllama
53
ggrun
1

Language

wllama
TypeScript
ggrun
Go

Adopt for

wllama
WebAssembly bindings for browser-based inference of llama.cpp.
ggrun
ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.

Persona

wllama
-
ggrun
-

Runtime

wllama
-
ggrun
-

License

wllama
MIT
ggrun
MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved.

Last pushed

wllama
Jun 17, 2026
ggrun
Aug 11, 2026

Categories

wllama
Inference & Serving
ggrun
Inference & Serving

Trust and health

Maintenance

wllama
Steady (60%)
ggrun
Very active (96%)

Days since push

wllama
51d
ggrun
1d

Open issues (now)

wllama
53
ggrun
1

OSV dependency advisories

wllama
Published findings
ggrun
No lockfile (source not queried)

Full report

Choose wllama if…

  • wllama is primarily TypeScript; ggrun is Go.
  • Tags unique to wllama: llama, llamacpp, wasm, webassembly.
  • Need browser-based LLM inference directly through WebAssembly.

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.

Choose ggrun if…

  • ggrun is primarily Go; wllama is TypeScript.
  • Pricing: Free to use under MIT license; no direct costs involved in usage..
  • Tags unique to ggrun: cuda, gguf, golang, inference-server.
  • When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs

When NOT to use ggrun

  • For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity
  • When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: wllama 1.2k · ggrun 264 (synced Aug 7, 2026).

Common questions

What is the difference between wllama and ggrun?
wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. See the comparison table for live GitHub stats and shared categories.
When should I choose wllama over ggrun?
Choose wllama over ggrun when wllama is primarily TypeScript; ggrun is Go; Tags unique to wllama: llama, llamacpp, wasm, webassembly; Need browser-based LLM inference directly through WebAssembly.
When should I choose ggrun over wllama?
Choose ggrun over wllama when ggrun is primarily Go; wllama is TypeScript; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs.
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.
When should I avoid ggrun?
For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
Is wllama or ggrun more popular on GitHub?
wllama has more GitHub stars (1,159 vs 264). Stars measure visibility, not whether either tool fits your constraints.
Are wllama and ggrun open source?
Yes - both are open-source projects on GitHub (wllama: MIT, ggrun: MIT).
Where can I find alternatives to wllama or ggrun?
GraphCanon lists graph-backed alternatives at wllama alternatives and ggrun alternatives (wllama markdown twin, ggrun 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, wllama or ggrun?
wllama: Steady. ggrun: 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 wllama and ggrun?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: wllama trust report; ggrun trust report.

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