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Comparison

tiny-vllm vs anubis-oss

Verdict

Pick tiny-vllm if for those needing a compact yet potent LLM inference engine built on C++ and CUDA, tiny-vllm presents an accessible framework inspired by its larger sibling, vLLM; 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 · tiny-vllm alternatives · anubis-oss alternatives

GraphCanon updated Sep 20, 2026

15views this month

tiny-vllm logo

tiny-vllm

jmaczan/tiny-vllm

★ 1.1kpushed Sep 15, 2026
vs
anubis-oss logo

anubis-oss

uncSoft/anubis-oss

★ 207pushed Sep 5, 2026

Trust & integrity

Signaltiny-vllmanubis-oss
Maintenance
Very active (3d since push)
As of Sep 19, 2026 · github_public_v1
Active (15d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 19, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 2026 · 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
tiny-vllm trust reportanubis-oss trust reportTrust methodology

Tagline

tiny-vllm
Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
anubis-oss
Local LLM Testing & Benchmarking for Apple Silicon

Stars

tiny-vllm
1.1k
anubis-oss
207

Forks

tiny-vllm
92
anubis-oss
15

Open issues

tiny-vllm
1
anubis-oss
1

Language

tiny-vllm
C++
anubis-oss
Swift

Adopt for

tiny-vllm
For those needing a compact yet potent LLM inference engine built on C++ and CUDA, tiny-vllm presents an accessible framework inspired by its larger sibling, vLLM.
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

tiny-vllm
-
anubis-oss
-

Runtime

tiny-vllm
-
anubis-oss
-

License

tiny-vllm
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

tiny-vllm
Sep 15, 2026
anubis-oss
Sep 5, 2026

Categories

tiny-vllm
Inference & Serving
anubis-oss
Evaluation & Observability, Inference & Serving

Trust and health

Maintenance

tiny-vllm
Very active (96%)
anubis-oss
Active (82%)

Days since push

tiny-vllm
3d
anubis-oss
15d

Stars delta

tiny-vllm
+173 (30d)
anubis-oss
+9 (30d)

Open issues delta

tiny-vllm
-1 (30d)
anubis-oss
-3 (30d)

Full report

tiny-vllm
Trust report
anubis-oss
Trust report

Choose tiny-vllm if…

  • tiny-vllm is primarily C++; anubis-oss is Swift.
  • License: tiny-vllm is Apache-2.0, anubis-oss is GPL-3.0.
  • Tags unique to tiny-vllm: cuda, hpc, lstm.
  • When you require a lightweight solution for deploying large language model inference in environments with limited resources but still demand high performance.

When NOT to use tiny-vllm

  • Avoid using tiny-vllm if the application requires the full feature set offered by its larger counterpart, vLLM, as it has been trimmed for lightweight use.
  • Do not choose this tool when working in environments that do not support CUDA or where a higher abstraction level is preferred over direct C++ and CUDA implementation.
GitHubDetails

Choose anubis-oss if…

  • anubis-oss is primarily Swift; tiny-vllm is C++.
  • License: anubis-oss is GPL-3.0, tiny-vllm 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.
GitHubDetails

Explore

tiny-vllm trust report →anubis-oss trust report →Inference & Serving category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: tiny-vllm 1.1k · anubis-oss 207 (synced Sep 20, 2026).

Common questions

What is the difference between tiny-vllm and anubis-oss?
tiny-vllm: Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
When should I choose tiny-vllm over anubis-oss?
Choose tiny-vllm over anubis-oss when tiny-vllm is primarily C++; anubis-oss is Swift; License: tiny-vllm is Apache-2.0, anubis-oss is GPL-3.0; Tags unique to tiny-vllm: cuda, hpc, lstm; When you require a lightweight solution for deploying large language model inference in environments with limited resources but still demand high performance.
When should I choose anubis-oss over tiny-vllm?
Choose anubis-oss over tiny-vllm when anubis-oss is primarily Swift; tiny-vllm is C++; License: anubis-oss is GPL-3.0, tiny-vllm 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 tiny-vllm?
Avoid using tiny-vllm if the application requires the full feature set offered by its larger counterpart, vLLM, as it has been trimmed for lightweight use. Do not choose this tool when working in environments that do not support CUDA or where a higher abstraction level is preferred over direct C++ and CUDA implementation.
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 tiny-vllm or anubis-oss more popular on GitHub?
tiny-vllm has more GitHub stars (1,120 vs 207). Stars measure visibility, not whether either tool fits your constraints.
Are tiny-vllm and anubis-oss open source?
Yes - both are open-source projects on GitHub (tiny-vllm: Apache-2.0, anubis-oss: GPL-3.0).
Where can I find alternatives to tiny-vllm or anubis-oss?
GraphCanon lists graph-backed alternatives at tiny-vllm alternatives and anubis-oss alternatives (tiny-vllm 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, tiny-vllm or anubis-oss?
tiny-vllm: Very active. anubis-oss: 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 tiny-vllm and anubis-oss?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tiny-vllm trust report; anubis-oss trust report.

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