Comparison
wllama vs awesome-local-llm
Verdict
Pick wllama if webAssembly bindings for browser-based inference of llama.cpp; pick awesome-local-llm if awesome-local-llm is a curated list of resources for the local operation of large language models.
Markdown twin · wllama alternatives · awesome-local-llm alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | wllama | awesome-local-llm |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 7, 2026 · github_public_v1 | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- wllama
- WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
- awesome-local-llm
- Resources for running LLMs locally
Stars
- wllama
- 1.2k
- awesome-local-llm
- 2.9k
Forks
- wllama
- 121
- awesome-local-llm
- 388
Open issues
- wllama
- 47
- awesome-local-llm
- 169
Language
- wllama
- TypeScript
- awesome-local-llm
- -
Adopt for
- wllama
- WebAssembly bindings for browser-based inference of llama.cpp.
- awesome-local-llm
- awesome-local-llm is a curated list of resources for the local operation of large language models.
Persona
- wllama
- -
- awesome-local-llm
- -
Runtime
- wllama
- -
- awesome-local-llm
- -
License
- wllama
- MIT
- awesome-local-llm
- MIT License
Last pushed
- wllama
- Sep 6, 2026
- awesome-local-llm
- Sep 13, 2026
Categories
- wllama
- Inference & Serving
- awesome-local-llm
- Inference & Serving
Trust and health
Days since push
- wllama
- 0d
- awesome-local-llm
- 6d
Open issues (now)
- wllama
- 47
- awesome-local-llm
- 169
Stars delta
- wllama
- +37 (30d)
- awesome-local-llm
- +351 (30d)
Open issues delta
- wllama
- -6 (30d)
- awesome-local-llm
- +40 (30d)
OSV dependency advisories
- wllama
- Published findings
- awesome-local-llm
- No lockfile (source not queried)
Full report
- wllama
- Trust report
- awesome-local-llm
- Trust report
Choose wllama if…
- Tags unique to wllama: llama, llamacpp, wasm, webassembly.
- Need browser-based LLM inference directly through WebAssembly.
- Leaner open-issue backlog (47).
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 awesome-local-llm if…
- 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: ai, awesome-list, 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ngxson/wllama) · observed Sep 20, 2026
- GitHub forks (ngxson/wllama) · observed Sep 20, 2026
- Last push (ngxson/wllama) · observed Sep 6, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: wllama 1.2k · awesome-local-llm 2.9k (synced Sep 20, 2026).
Common questions
- What is the difference between wllama and awesome-local-llm?
- wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. awesome-local-llm: Resources for running LLMs locally. See the comparison table for live GitHub stats and shared categories.
- When should I choose wllama over awesome-local-llm?
- Choose wllama over awesome-local-llm when Tags unique to wllama: llama, llamacpp, wasm, webassembly; Need browser-based LLM inference directly through WebAssembly; Leaner open-issue backlog (47).
- When should I choose awesome-local-llm over wllama?
- Choose awesome-local-llm over wllama when 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: ai, awesome-list, 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 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 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
- Is wllama or awesome-local-llm more popular on GitHub?
- awesome-local-llm has more GitHub stars (2,869 vs 1,196). Stars measure visibility, not whether either tool fits your constraints.
- Are wllama and awesome-local-llm open source?
- Yes - both are open-source projects on GitHub (wllama: MIT, awesome-local-llm: MIT).
- Where can I find alternatives to wllama or awesome-local-llm?
- GraphCanon lists graph-backed alternatives at wllama alternatives and awesome-local-llm alternatives (wllama markdown twin, awesome-local-llm 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 awesome-local-llm?
- wllama: Very active. awesome-local-llm: 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 awesome-local-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: wllama trust report; awesome-local-llm trust report.