Comparison
rkllama vs ggrun
Verdict
Pick rkllama if ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices; pick ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
Markdown twin · rkllama alternatives · ggrun alternatives
GraphCanon updated 6d
Trust & integrity
| Signal | rkllama | ggrun |
|---|---|---|
| Maintenance | Active (18d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 6d · 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
- rkllama
- Ollama alternative for Rockchip NPU with optimized AI and Deep learning model inference
- ggrun
- Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server
Stars
- rkllama
- 577
- ggrun
- 264
Forks
- rkllama
- 98
- ggrun
- 14
Open issues
- rkllama
- 59
- ggrun
- 1
Language
- rkllama
- Python
- ggrun
- Go
Adopt for
- rkllama
- Ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices
- ggrun
- ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
Persona
- rkllama
- -
- ggrun
- -
Runtime
- rkllama
- -
- ggrun
- -
License
- rkllama
- GPL-3.0
- ggrun
- MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved.
Last pushed
- rkllama
- Jul 7, 2026
- ggrun
- Aug 11, 2026
Categories
- rkllama
- Inference & Serving
- ggrun
- Inference & Serving
Trust and health
Maintenance
- rkllama
- Active (82%)
- ggrun
- Very active (96%)
Days since push
- rkllama
- 18d
- ggrun
- 1d
Open issues (now)
- rkllama
- 59
- ggrun
- 1
Full report
- rkllama
- Trust report
- ggrun
- Trust report
Choose rkllama if…
- rkllama is primarily Python; ggrun is Go.
- License: rkllama is GPL-3.0, ggrun is MIT.
- Tags unique to rkllama: ai, client-server, llm-inference, npu-llm.
- 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
Choose ggrun if…
- ggrun is primarily Go; rkllama is Python.
- License: ggrun is MIT, rkllama is GPL-3.0.
- Pricing: Free to use under MIT license; no direct costs involved in usage..
- Tags unique to ggrun: cuda, gguf, golang, inference-server.
- When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs
When NOT to use ggrun
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity
- When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (raketenkater/ggrun) · observed Aug 13, 2026
- GitHub forks (raketenkater/ggrun) · observed Aug 13, 2026
- Last push (raketenkater/ggrun) · observed Aug 11, 2026
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: rkllama 577 · ggrun 264 (synced Jul 25, 2026).
Common questions
- What is the difference between rkllama and ggrun?
- rkllama: Ollama alternative for Rockchip NPU with optimized AI and Deep learning model inference. ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. See the comparison table for live GitHub stats and shared categories.
- When should I choose rkllama over ggrun?
- Choose rkllama over ggrun when rkllama is primarily Python; ggrun is Go; License: rkllama is GPL-3.0, ggrun is MIT; Tags unique to rkllama: ai, client-server, llm-inference, npu-llm; rkllama ships Docker support for self-hosted deployment; You need to run models specifically optimized for Rockchip Neural Processing Unit (NPU).
- When should I choose ggrun over rkllama?
- Choose ggrun over rkllama when ggrun is primarily Go; rkllama is Python; License: ggrun is MIT, rkllama is GPL-3.0; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs.
- 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
- When should I avoid ggrun?
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
- Is rkllama or ggrun more popular on GitHub?
- rkllama has more GitHub stars (577 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are rkllama and ggrun open source?
- Yes - both are open-source projects on GitHub (rkllama: GPL-3.0, ggrun: MIT).
- Where can I find alternatives to rkllama or ggrun?
- GraphCanon lists graph-backed alternatives at rkllama alternatives and ggrun alternatives (rkllama markdown twin, ggrun 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, rkllama or ggrun?
- rkllama: Active. ggrun: 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 rkllama and ggrun?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rkllama trust report; ggrun trust report.