Comparison
anubis-oss vs vllm-ascend
Verdict
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; pick vllm-ascend if vllm-ascend: Ascend hardware plugin for vLLM in C++.
Markdown twin · anubis-oss alternatives · vllm-ascend alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | anubis-oss | vllm-ascend |
|---|---|---|
| Maintenance | Steady (56d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
- vllm-ascend
- Community maintained hardware plugin for vLLM on Ascend
Stars
- anubis-oss
- 198
- vllm-ascend
- 2.7k
Forks
- anubis-oss
- 12
- vllm-ascend
- 2.1k
Open issues
- anubis-oss
- 4
- vllm-ascend
- 2.6k
Language
- anubis-oss
- Swift
- vllm-ascend
- C++
Adopt for
- 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.
- vllm-ascend
- vllm-ascend: Ascend hardware plugin for vLLM in C++
Persona
- anubis-oss
- -
- vllm-ascend
- -
Runtime
- anubis-oss
- -
- vllm-ascend
- -
License
- 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.
- vllm-ascend
- Apache-2.0
Last pushed
- anubis-oss
- Jun 18, 2026
- vllm-ascend
- Aug 20, 2026
Categories
- anubis-oss
- Evaluation & Observability, Inference & Serving
- vllm-ascend
- Inference & Serving
Trust and health
Maintenance
- anubis-oss
- Steady (60%)
- vllm-ascend
- Very active (96%)
Days since push
- anubis-oss
- 56d
- vllm-ascend
- 0d
Open issues (now)
- anubis-oss
- 4
- vllm-ascend
- 2.6k
Stars delta
- anubis-oss
- Unknown
- vllm-ascend
- +230 (30d)
Open issues delta
- anubis-oss
- Unknown
- vllm-ascend
- +132 (30d)
Owner type
- anubis-oss
- User
- vllm-ascend
- Organization
OSV dependency advisories
- anubis-oss
- No lockfile (source not queried)
- vllm-ascend
- Published findings
Full report
- anubis-oss
- Trust report
- vllm-ascend
- Trust report
Choose anubis-oss if…
- anubis-oss is primarily Swift; vllm-ascend is C++.
- License: anubis-oss is GPL-3.0, vllm-ascend 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, local-llm.
- 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.
Choose vllm-ascend if…
- vllm-ascend is primarily C++; anubis-oss is Swift.
- License: vllm-ascend is Apache-2.0, anubis-oss is GPL-3.0.
- Tags unique to vllm-ascend: ascend, llm-serving, model-serving.
- vllm-ascend ships Docker support for self-hosted deployment.
- You need to optimize large language model inference on Ascend hardware
When NOT to use vllm-ascend
- If you require support for GPU or CPU only setups without Ascend hardware
- When seeking proprietary software, as vllm-ascend is open-source under Apache License 2.0
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (vllm-project/vllm-ascend) · observed Aug 20, 2026
- GitHub forks (vllm-project/vllm-ascend) · observed Aug 20, 2026
- Last push (vllm-project/vllm-ascend) · observed Aug 20, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anubis-oss 198 · vllm-ascend 2.7k (synced Aug 13, 2026).
Common questions
- What is the difference between anubis-oss and vllm-ascend?
- anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. vllm-ascend: Community maintained hardware plugin for vLLM on Ascend. See the comparison table for live GitHub stats and shared categories.
- When should I choose anubis-oss over vllm-ascend?
- Choose anubis-oss over vllm-ascend when anubis-oss is primarily Swift; vllm-ascend is C++; License: anubis-oss is GPL-3.0, vllm-ascend 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, local-llm; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
- When should I choose vllm-ascend over anubis-oss?
- Choose vllm-ascend over anubis-oss when vllm-ascend is primarily C++; anubis-oss is Swift; License: vllm-ascend is Apache-2.0, anubis-oss is GPL-3.0; Tags unique to vllm-ascend: ascend, llm-serving, model-serving; vllm-ascend ships Docker support for self-hosted deployment; You need to optimize large language model inference on Ascend hardware.
- 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.
- When should I avoid vllm-ascend?
- If you require support for GPU or CPU only setups without Ascend hardware When seeking proprietary software, as vllm-ascend is open-source under Apache License 2.0
- Is anubis-oss or vllm-ascend more popular on GitHub?
- vllm-ascend has more GitHub stars (2,674 vs 198). Stars measure visibility, not whether either tool fits your constraints.
- Are anubis-oss and vllm-ascend open source?
- Yes - both are open-source projects on GitHub (anubis-oss: GPL-3.0, vllm-ascend: Apache-2.0).
- Where can I find alternatives to anubis-oss or vllm-ascend?
- GraphCanon lists graph-backed alternatives at anubis-oss alternatives and vllm-ascend alternatives (anubis-oss markdown twin, vllm-ascend 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, anubis-oss or vllm-ascend?
- anubis-oss: Steady. vllm-ascend: 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 anubis-oss and vllm-ascend?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anubis-oss trust report; vllm-ascend trust report.