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

# quant.cpp vs anubis-oss

*GraphCanon updated Aug 25, 2026*

## Verdict

Pick quant.cpp if quant.cpp, a lossless KV cache compression and quantization tool for LLM inference in pure C without dependencies; 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.

[quant.cpp](https://github.com/quantumaikr/quant.cpp) reports 399 GitHub stars, 44 forks, and 11 open issues, last pushed Apr 26, 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 [quant.cpp's repository](https://github.com/quantumaikr/quant.cpp) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss).

| | [quant.cpp](/tools/quantumaikr-quant-cpp.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) |
| --- | --- | --- |
| Tagline | LLM inference with extended context using C | Local LLM Testing & Benchmarking for Apple Silicon |
| Stars | 399 | 198 |
| Forks | 44 | 12 |
| Open issues | 11 | 4 |
| Language | C | Swift |
| Adopt for | quant.cpp, a lossless KV cache compression and quantization tool for LLM inference in pure C without dependencies. | 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 | Quant.cpp uses the Apache-2.0 license, which allows for free use, modification, and distribution. Contributions to its codebase are welcomed. | 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._

| | [quant.cpp](/tools/quantumaikr-quant-cpp.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Steady (60%) |
| Days since push | 121d | 56d |
| Open issues (now) | 11 | 4 |
| Stars delta | +4 (30d) | Unknown |
| Open issues delta | 0 (30d) | Unknown |
| Owner type | Organization | User |
| Full report | [trust report](/tools/quantumaikr-quant-cpp/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) |

## Decision facts: quant.cpp

- **Requirements:** Requires a C compiler compatible with quant.cpp source code.
- **Adopt for:** quant.cpp, a lossless KV cache compression and quantization tool for LLM inference in pure C without dependencies.
- **License detail:** Quant.cpp uses the Apache-2.0 license, which allows for free use, modification, and distribution. Contributions to its codebase are welcomed.

## 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 quant.cpp if…

- quant.cpp is primarily C; anubis-oss is Swift.
- License: quant.cpp is Apache-2.0, anubis-oss is GPL-3.0.
- Requirements: Requires a C compiler compatible with quant.cpp source code..
- Tags unique to quant.cpp: delta-compression, embeddable, gguf, kv-cache.
- quant.cpp ships Docker support for self-hosted deployment.
- Use quant.cpp when you need extended context for LLM inference in a lightweight, embeddable environment with no external dependencies.

### Choose anubis-oss if…

- anubis-oss is primarily Swift; quant.cpp is C.
- License: anubis-oss is GPL-3.0, quant.cpp is Apache-2.0.
- 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 quant.cpp

- Avoid using quant.cpp for projects requiring non-C language support or frameworks since it strictly operates within the context of pure C.
- Do not use quant.cpp in environments where rapid runtime performance is paramount and additional compile-time overhead introduced by its unique compression techniques may cause delays.

## 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 quant.cpp and anubis-oss?

quant.cpp: LLM inference with extended context using C. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.

### When should I choose quant.cpp over anubis-oss?

Choose quant.cpp over anubis-oss when quant.cpp is primarily C; anubis-oss is Swift; License: quant.cpp is Apache-2.0, anubis-oss is GPL-3.0; Requirements: Requires a C compiler compatible with quant.cpp source code.; Tags unique to quant.cpp: delta-compression, embeddable, gguf, kv-cache; quant.cpp ships Docker support for self-hosted deployment; Use quant.cpp when you need extended context for LLM inference in a lightweight, embeddable environment with no external dependencies.

### When should I choose anubis-oss over quant.cpp?

Choose anubis-oss over quant.cpp when anubis-oss is primarily Swift; quant.cpp is C; License: anubis-oss is GPL-3.0, quant.cpp is Apache-2.0; 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 quant.cpp?

Avoid using quant.cpp for projects requiring non-C language support or frameworks since it strictly operates within the context of pure C. Do not use quant.cpp in environments where rapid runtime performance is paramount and additional compile-time overhead introduced by its unique compression techniques may cause delays.

### 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 quant.cpp or anubis-oss more popular on GitHub?

quant.cpp has more GitHub stars (399 vs 198). Stars measure visibility, not whether either tool fits your constraints.

### Are quant.cpp and anubis-oss open source?

Yes - both are open-source projects on GitHub (quant.cpp: Apache-2.0, anubis-oss: GPL-3.0).

### Where can I find alternatives to quant.cpp or anubis-oss?

GraphCanon lists graph-backed alternatives at [quant.cpp alternatives](/tools/quantumaikr-quant-cpp/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([quant.cpp markdown twin](/tools/quantumaikr-quant-cpp/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/quantumaikr-quant-cpp-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, quant.cpp or anubis-oss?

quant.cpp: Slowing. 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 quant.cpp and anubis-oss?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=quantumaikr-quant-cpp`](/api/graphcanon/graph?tool=quantumaikr-quant-cpp)
- 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/_
