Comparison
wllama vs BrowserAI
Verdict
Pick wllama if webAssembly bindings for browser-based inference of llama.cpp; pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript.
Markdown twin · wllama alternatives · BrowserAI alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | wllama | BrowserAI |
|---|---|---|
| Maintenance | Steady (51d since push) As of 2w · github_public_v1 | Very active (4d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 4w · 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
- BrowserAI
- Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
Stars
- wllama
- 1.2k
- BrowserAI
- 1.4k
Forks
- wllama
- 117
- BrowserAI
- 138
Open issues
- wllama
- 53
- BrowserAI
- 24
Language
- wllama
- TypeScript
- BrowserAI
- TypeScript
Adopt for
- wllama
- WebAssembly bindings for browser-based inference of llama.cpp.
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
Persona
- wllama
- -
- BrowserAI
- -
Runtime
- wllama
- -
- BrowserAI
- -
License
- wllama
- MIT
- BrowserAI
- MIT
Last pushed
- wllama
- Jun 17, 2026
- BrowserAI
- Jul 21, 2026
Categories
- wllama
- Inference & Serving
- BrowserAI
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- wllama
- Steady (60%)
- BrowserAI
- Very active (96%)
Days since push
- wllama
- 51d
- BrowserAI
- 4d
Open issues (now)
- wllama
- 53
- BrowserAI
- 24
OSV dependency advisories
- wllama
- Published findings
- BrowserAI
- No lockfile (source not queried)
Full report
- wllama
- Trust report
- BrowserAI
- Trust report
Choose wllama if…
- Tags unique to wllama: llama, llamacpp, llm, wasm.
- 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 BrowserAI if…
- Tags unique to BrowserAI: agents, ai, llm-inference, local.
- Also covers LLM Frameworks.
- You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
When NOT to use BrowserAI
- You require a server-based solution instead of in-browser execution for LLMs.
- The project involves extensive training tasks that are unsuitable for browser environments.
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 Aug 7, 2026
- GitHub forks (ngxson/wllama) · observed Aug 7, 2026
- Last push (ngxson/wllama) · observed Jun 17, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sauravpanda/BrowserAI) · observed Jul 25, 2026
- GitHub forks (sauravpanda/BrowserAI) · observed Jul 25, 2026
- Last push (sauravpanda/BrowserAI) · observed Jul 21, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: wllama 1.2k · BrowserAI 1.4k (synced Aug 7, 2026).
Common questions
- What is the difference between wllama and BrowserAI?
- wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. See the comparison table for live GitHub stats and shared categories.
- When should I choose wllama over BrowserAI?
- Choose wllama over BrowserAI when Tags unique to wllama: llama, llamacpp, llm, wasm; Need browser-based LLM inference directly through WebAssembly.
- When should I choose BrowserAI over wllama?
- Choose BrowserAI over wllama when Tags unique to BrowserAI: agents, ai, llm-inference, local; Also covers LLM Frameworks; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
- 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 BrowserAI?
- You require a server-based solution instead of in-browser execution for LLMs. The project involves extensive training tasks that are unsuitable for browser environments.
- Is wllama or BrowserAI more popular on GitHub?
- BrowserAI has more GitHub stars (1,446 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
- Are wllama and BrowserAI open source?
- Yes - both are open-source projects on GitHub (wllama: MIT, BrowserAI: MIT).
- Where can I find alternatives to wllama or BrowserAI?
- GraphCanon lists graph-backed alternatives at wllama alternatives and BrowserAI alternatives (wllama markdown twin, BrowserAI 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 BrowserAI?
- wllama: Steady. BrowserAI: 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 BrowserAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: wllama trust report; BrowserAI trust report.