---
title: "wllama vs anubis-oss"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ngxson-wllama-vs-uncsoft-anubis-oss"
tools: ["ngxson-wllama", "uncsoft-anubis-oss"]
---

# wllama vs anubis-oss

*GraphCanon updated Aug 13, 2026*

## Verdict

Pick wllama if webAssembly bindings for browser-based inference of llama.cpp; pick anubis-oss if anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment.

[wllama](https://huggingface.co/spaces/ngxson/wllama) reports 1.2k GitHub stars, 117 forks, and 53 open issues, last pushed Jun 17, 2026. [anubis-oss](https://devpadapp.com/leaderboard.html) has 198 stars, 12 forks, and 4 open issues, last pushed Jun 18, 2026. Figures are from public GitHub metadata via [wllama's repository](https://github.com/ngxson/wllama) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss).

| | [wllama](/tools/ngxson-wllama.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) |
| --- | --- | --- |
| Tagline | WebAssembly binding for llama.cpp - Enabling on-browser LLM inference | Local LLM Testing & Benchmarking for Apple Silicon |
| Stars | 1,159 | 198 |
| Forks | 117 | 12 |
| Open issues | 53 | 4 |
| Language | TypeScript | Swift |
| Adopt for | WebAssembly bindings for browser-based inference of llama.cpp. | Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. |
| Categories | Inference & Serving | Evaluation & Observability, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [wllama](/tools/ngxson-wllama.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) |
| --- | --- | --- |
| Days since push | 51d | 56d |
| Open issues (now) | 53 | 4 |
| Full report | [trust report](/tools/ngxson-wllama/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) |

## Decision facts: wllama

- **Adopt for:** WebAssembly bindings for browser-based inference of llama.cpp.

## Decision facts: anubis-oss

- **Pricing:** freemium - The tool is free and open-source with no monetary costs for usage or distribution.
- **Requirements:** Min 8 GB RAM
- **Adopt for:** Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment.
- **License detail:** GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms.

## Choose when

### Choose wllama if…

- wllama is primarily TypeScript; anubis-oss is Swift.
- License: wllama is MIT, anubis-oss is GPL-3.0.
- Tags unique to wllama: llama, llamacpp, wasm, webassembly.
- Need browser-based LLM inference directly through WebAssembly.

### Choose anubis-oss if…

- anubis-oss is primarily Swift; wllama is TypeScript.
- License: anubis-oss is GPL-3.0, wllama is MIT.
- Pricing: The tool is free and open-source with no monetary costs for usage or distribution..
- Requirements: Min 8 GB RAM.
- Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference.
- Also covers Evaluation & Observability.
- When developing and evaluating large language models intended to run natively on Apple Silicon hardware.

## 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.

## When NOT to use anubis-oss

- If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms.
- When preferring a language other than Swift, since Anubis-oss depends on this for its operations.

## Common questions

### What is the difference between wllama and anubis-oss?

wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.

### When should I choose wllama over anubis-oss?

Choose wllama over anubis-oss when wllama is primarily TypeScript; anubis-oss is Swift; License: wllama is MIT, anubis-oss is GPL-3.0; Tags unique to wllama: llama, llamacpp, wasm, webassembly; Need browser-based LLM inference directly through WebAssembly.

### When should I choose anubis-oss over wllama?

Choose anubis-oss over wllama when anubis-oss is primarily Swift; wllama is TypeScript; License: anubis-oss is GPL-3.0, wllama is MIT; Pricing: The tool is free and open-source with no monetary costs for usage or distribution.; Requirements: Min 8 GB RAM; Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware.

### 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 anubis-oss?

If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. When preferring a language other than Swift, since Anubis-oss depends on this for its operations.

### Is wllama or anubis-oss more popular on GitHub?

wllama has more GitHub stars (1,159 vs 198). Stars measure visibility, not whether either tool fits your constraints.

### Are wllama and anubis-oss open source?

Yes - both are open-source projects on GitHub (wllama: MIT, anubis-oss: GPL-3.0).

### Where can I find alternatives to wllama or anubis-oss?

GraphCanon lists graph-backed alternatives at [wllama alternatives](/tools/ngxson-wllama/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([wllama markdown twin](/tools/ngxson-wllama/alternatives.md), [anubis-oss markdown twin](/tools/uncsoft-anubis-oss/alternatives.md)), 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](/compare/ngxson-wllama-vs-uncsoft-anubis-oss.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, wllama or anubis-oss?

wllama: Steady. anubis-oss: Steady. 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 anubis-oss?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [wllama trust report](/tools/ngxson-wllama/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ngxson-wllama`](/api/graphcanon/graph?tool=ngxson-wllama)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
