Comparison
whichllm vs anubis-oss
Verdict
Pick whichllm if whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks; 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 · whichllm alternatives · anubis-oss alternatives
GraphCanon updated Aug 13, 2026
9views this month
vs
Trust & integrity
| Signal | whichllm | anubis-oss |
|---|---|---|
| Maintenance | Active (7d since push) As of Aug 12, 2026 · github_public_v1 | Steady (56d since push) As of Aug 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 12, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 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 |
Tagline
- whichllm
- Command-line tool to find and benchmark local LLM performance
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- whichllm
- 6.2k
- anubis-oss
- 198
Forks
- whichllm
- 330
- anubis-oss
- 12
Open issues
- whichllm
- 22
- anubis-oss
- 4
Language
- whichllm
- Python
- anubis-oss
- Swift
Adopt for
- whichllm
- whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks.
- 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
- whichllm
- -
- anubis-oss
- -
Runtime
- whichllm
- -
- anubis-oss
- -
License
- whichllm
- MIT
- 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
- whichllm
- Aug 5, 2026
- anubis-oss
- Jun 18, 2026
Categories
- whichllm
- Evaluation & Observability, Inference & Serving
- anubis-oss
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- whichllm
- Active (82%)
- anubis-oss
- Steady (60%)
Days since push
- whichllm
- 7d
- anubis-oss
- 56d
Open issues (now)
- whichllm
- 22
- anubis-oss
- 4
Full report
- whichllm
- Trust report
- anubis-oss
- Trust report
Choose whichllm if…
- whichllm is primarily Python; anubis-oss is Swift.
- License: whichllm is MIT, anubis-oss is GPL-3.0.
- Tags unique to whichllm: ai, benchmarks, cli, huggingface.
- When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts
When NOT to use whichllm
- In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required
- When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow
Choose anubis-oss if…
- anubis-oss is primarily Swift; whichllm is Python.
- License: anubis-oss is GPL-3.0, whichllm is MIT.
- 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: benchmarking, gpu, macos, mlx.
- 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 (Andyyyy64/whichllm) · observed Aug 12, 2026
- GitHub forks (Andyyyy64/whichllm) · observed Aug 12, 2026
- Last push (Andyyyy64/whichllm) · observed Aug 5, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: whichllm 6.2k · anubis-oss 198 (synced Aug 12, 2026).
Common questions
- What is the difference between whichllm and anubis-oss?
- whichllm: Command-line tool to find and benchmark local LLM performance. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose whichllm over anubis-oss?
- Choose whichllm over anubis-oss when whichllm is primarily Python; anubis-oss is Swift; License: whichllm is MIT, anubis-oss is GPL-3.0; Tags unique to whichllm: ai, benchmarks, cli, huggingface; When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts.
- When should I choose anubis-oss over whichllm?
- Choose anubis-oss over whichllm when anubis-oss is primarily Swift; whichllm is Python; License: anubis-oss is GPL-3.0, whichllm is MIT; 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: benchmarking, gpu, macos, mlx; When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
- When should I avoid whichllm?
- In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow
- 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 whichllm or anubis-oss more popular on GitHub?
- whichllm has more GitHub stars (6,225 vs 198). Stars measure visibility, not whether either tool fits your constraints.
- Are whichllm and anubis-oss open source?
- Yes - both are open-source projects on GitHub (whichllm: MIT, anubis-oss: GPL-3.0).
- Where can I find alternatives to whichllm or anubis-oss?
- GraphCanon lists graph-backed alternatives at whichllm alternatives and anubis-oss alternatives (whichllm 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, whichllm or anubis-oss?
- whichllm: 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 whichllm and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whichllm trust report; anubis-oss trust report.