Comparison
distributed-llama vs rkllama
Verdict
Pick distributed-llama if distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license; pick rkllama if ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices.
Markdown twin · distributed-llama alternatives · rkllama alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | distributed-llama | rkllama |
|---|---|---|
| Maintenance | Active (19d since push) As of 3w · github_public_v1 | Active (18d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- distributed-llama
- Distributed LLM inference using home devices cluster
- rkllama
- Ollama alternative for Rockchip NPU with optimized AI and Deep learning model inference
Stars
- distributed-llama
- 3.0k
- rkllama
- 577
Forks
- distributed-llama
- 242
- rkllama
- 98
Open issues
- distributed-llama
- 48
- rkllama
- 59
Language
- distributed-llama
- C++
- rkllama
- Python
Adopt for
- distributed-llama
- distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license.
- rkllama
- Ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices
Persona
- distributed-llama
- -
- rkllama
- -
Runtime
- distributed-llama
- -
- rkllama
- -
License
- distributed-llama
- MIT
- rkllama
- GPL-3.0
Last pushed
- distributed-llama
- Jul 5, 2026
- rkllama
- Jul 7, 2026
Categories
- distributed-llama
- Inference & Serving
- rkllama
- Inference & Serving
Trust and health
Days since push
- distributed-llama
- 19d
- rkllama
- 18d
Open issues (now)
- distributed-llama
- 48
- rkllama
- 59
Full report
- distributed-llama
- Trust report
- rkllama
- Trust report
Choose distributed-llama if…
- distributed-llama is primarily C++; rkllama is Python.
- License: distributed-llama is MIT, rkllama is GPL-3.0.
- Tags unique to distributed-llama: distributed-computing, neural-network.
- When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
When NOT to use distributed-llama
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited.
- In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
Choose rkllama if…
- rkllama is primarily Python; distributed-llama is C++.
- License: rkllama is GPL-3.0, distributed-llama is MIT.
- Tags unique to rkllama: ai, client-server, npu-llm, orange-pi.
- rkllama ships Docker support for self-hosted deployment.
- You need to run models specifically optimized for Rockchip Neural Processing Unit (NPU)
When NOT to use rkllama
- Your hardware does not include a Rockchip NPU
- You are looking for an AI solution that works across multiple non-Rockchip platforms
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (b4rtaz/distributed-llama) · observed Jul 25, 2026
- GitHub forks (b4rtaz/distributed-llama) · observed Jul 25, 2026
- Last push (b4rtaz/distributed-llama) · observed Jul 5, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NotPunchnox/rkllama) · observed Jul 25, 2026
- GitHub forks (NotPunchnox/rkllama) · observed Jul 25, 2026
- Last push (NotPunchnox/rkllama) · observed Jul 7, 2026
- License file (GPL-3.0) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: distributed-llama 3.0k · rkllama 577 (synced Jul 25, 2026).
Common questions
- What is the difference between distributed-llama and rkllama?
- distributed-llama: Distributed LLM inference using home devices cluster. rkllama: Ollama alternative for Rockchip NPU with optimized AI and Deep learning model inference. See the comparison table for live GitHub stats and shared categories.
- When should I choose distributed-llama over rkllama?
- Choose distributed-llama over rkllama when distributed-llama is primarily C++; rkllama is Python; License: distributed-llama is MIT, rkllama is GPL-3.0; Tags unique to distributed-llama: distributed-computing, neural-network; When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
- When should I choose rkllama over distributed-llama?
- Choose rkllama over distributed-llama when rkllama is primarily Python; distributed-llama is C++; License: rkllama is GPL-3.0, distributed-llama is MIT; Tags unique to rkllama: ai, client-server, npu-llm, orange-pi; rkllama ships Docker support for self-hosted deployment; You need to run models specifically optimized for Rockchip Neural Processing Unit (NPU).
- When should I avoid distributed-llama?
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited. In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
- When should I avoid rkllama?
- Your hardware does not include a Rockchip NPU You are looking for an AI solution that works across multiple non-Rockchip platforms
- Is distributed-llama or rkllama more popular on GitHub?
- distributed-llama has more GitHub stars (3,012 vs 577). Stars measure visibility, not whether either tool fits your constraints.
- Are distributed-llama and rkllama open source?
- Yes - both are open-source projects on GitHub (distributed-llama: MIT, rkllama: GPL-3.0).
- Where can I find alternatives to distributed-llama or rkllama?
- GraphCanon lists graph-backed alternatives at distributed-llama alternatives and rkllama alternatives (distributed-llama markdown twin, rkllama 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, distributed-llama or rkllama?
- distributed-llama: Active. rkllama: 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 distributed-llama and rkllama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distributed-llama trust report; rkllama trust report.