Comparison
airllm vs anubis-oss
Verdict
Pick airllm if airLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU; 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.
Markdown twin · airllm alternatives · anubis-oss alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | airllm | anubis-oss |
|---|---|---|
| Maintenance | Very active (5d since push) As of 3w · github_public_v1 | Steady (56d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · 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
- airllm
- AirLLM 70B inference with single 4GB GPU
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- airllm
- 24k
- anubis-oss
- 198
Forks
- airllm
- 2.7k
- anubis-oss
- 12
Open issues
- airllm
- 115
- anubis-oss
- 4
Language
- airllm
- Jupyter Notebook
- anubis-oss
- Swift
Adopt for
- airllm
- AirLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU.
- anubis-oss
- 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
- airllm
- -
- anubis-oss
- -
Runtime
- airllm
- -
- anubis-oss
- -
License
- airllm
- Apache-2.0
- anubis-oss
- GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms.
Last pushed
- airllm
- Jul 23, 2026
- anubis-oss
- Jun 18, 2026
Categories
- airllm
- Inference & Serving
- anubis-oss
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- airllm
- Very active (96%)
- anubis-oss
- Steady (60%)
Days since push
- airllm
- 5d
- anubis-oss
- 56d
Open issues (now)
- airllm
- 115
- anubis-oss
- 4
OSV dependency advisories
- airllm
- Published findings
- anubis-oss
- No lockfile (source not queried)
Full report
- airllm
- Trust report
- anubis-oss
- Trust report
Choose airllm if…
- airllm is primarily Jupyter Notebook; anubis-oss is Swift.
- License: airllm is Apache-2.0, anubis-oss is GPL-3.0.
- Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply..
- Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences..
- Tags unique to airllm: chinese-llm, chinese-nlp, finetune, generative-ai.
- If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
When NOT to use airllm
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency.
- Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
Choose anubis-oss if…
- anubis-oss is primarily Swift; airllm is Jupyter Notebook.
- License: anubis-oss is GPL-3.0, airllm 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lyogavin/airllm) · observed Jul 28, 2026
- GitHub forks (lyogavin/airllm) · observed Jul 28, 2026
- Last push (lyogavin/airllm) · observed Jul 23, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 9, 2026
- GitHub stars (uncSoft/anubis-oss) · observed Aug 13, 2026
- GitHub forks (uncSoft/anubis-oss) · observed Aug 13, 2026
- Last push (uncSoft/anubis-oss) · observed Jun 18, 2026
- License file (GPL-3.0) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: airllm 24k · anubis-oss 198 (synced Jul 28, 2026).
Common questions
- What is the difference between airllm and anubis-oss?
- airllm: AirLLM 70B inference with single 4GB GPU. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose airllm over anubis-oss?
- Choose airllm over anubis-oss when airllm is primarily Jupyter Notebook; anubis-oss is Swift; License: airllm is Apache-2.0, anubis-oss is GPL-3.0; Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply.; Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences.; Tags unique to airllm: chinese-llm, chinese-nlp, finetune, generative-ai; If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
- When should I choose anubis-oss over airllm?
- Choose anubis-oss over airllm when anubis-oss is primarily Swift; airllm is Jupyter Notebook; License: anubis-oss is GPL-3.0, airllm 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 airllm?
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency. Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
- 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 airllm or anubis-oss more popular on GitHub?
- airllm has more GitHub stars (24,183 vs 198). Stars measure visibility, not whether either tool fits your constraints.
- Are airllm and anubis-oss open source?
- Yes - both are open-source projects on GitHub (airllm: Apache-2.0, anubis-oss: GPL-3.0).
- Where can I find alternatives to airllm or anubis-oss?
- GraphCanon lists graph-backed alternatives at airllm alternatives and anubis-oss alternatives (airllm markdown twin, anubis-oss 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, airllm or anubis-oss?
- airllm: Very active. 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 airllm and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airllm trust report; anubis-oss trust report.