Comparison
awesome-local-llm vs anubis-oss
Verdict
Pick awesome-local-llm if awesome-local-llm is a curated list of resources for the local operation of large language models; 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 · awesome-local-llm alternatives · anubis-oss alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | awesome-local-llm | anubis-oss |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 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 20, 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 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
- awesome-local-llm
- Resources for running LLMs locally
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- awesome-local-llm
- 2.9k
- anubis-oss
- 207
Forks
- awesome-local-llm
- 388
- anubis-oss
- 15
Open issues
- awesome-local-llm
- 169
- anubis-oss
- 1
Language
- awesome-local-llm
- -
- anubis-oss
- Swift
Adopt for
- awesome-local-llm
- awesome-local-llm is a curated list of resources for the local operation of large language models.
- 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
- awesome-local-llm
- -
- anubis-oss
- -
Runtime
- awesome-local-llm
- -
- anubis-oss
- -
License
- awesome-local-llm
- MIT 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.
Last pushed
- awesome-local-llm
- Sep 13, 2026
- anubis-oss
- Sep 5, 2026
Categories
- awesome-local-llm
- Inference & Serving
- anubis-oss
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- awesome-local-llm
- Very active (96%)
- anubis-oss
- Active (82%)
Days since push
- awesome-local-llm
- 6d
- anubis-oss
- 15d
Open issues (now)
- awesome-local-llm
- 169
- anubis-oss
- 1
Stars delta
- awesome-local-llm
- +351 (30d)
- anubis-oss
- +9 (30d)
Open issues delta
- awesome-local-llm
- +40 (30d)
- anubis-oss
- -3 (30d)
Full report
- awesome-local-llm
- Trust report
- anubis-oss
- Trust report
Choose awesome-local-llm if…
- License: awesome-local-llm is MIT, anubis-oss is GPL-3.0.
- Pricing: The list itself is free and open-source under the MIT license..
- Requirements: Technical skill in setting up a self-hosted large language model environment is necessary.
- Tags unique to awesome-local-llm: ai, awesome-list, local-ai, self-hosted.
- - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options
When NOT to use awesome-local-llm
- - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links
- - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources
Choose anubis-oss if…
- License: anubis-oss is GPL-3.0, awesome-local-llm 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: 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 (rafska/awesome-local-llm) · observed Sep 20, 2026
- GitHub forks (rafska/awesome-local-llm) · observed Sep 20, 2026
- Last push (rafska/awesome-local-llm) · observed Sep 13, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (uncSoft/anubis-oss) · observed Sep 20, 2026
- GitHub forks (uncSoft/anubis-oss) · observed Sep 20, 2026
- Last push (uncSoft/anubis-oss) · observed Sep 5, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-local-llm 2.9k · anubis-oss 207 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-local-llm and anubis-oss?
- awesome-local-llm: Resources for running LLMs locally. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-local-llm over anubis-oss?
- Choose awesome-local-llm over anubis-oss when License: awesome-local-llm is MIT, anubis-oss is GPL-3.0; Pricing: The list itself is free and open-source under the MIT license.; Requirements: Technical skill in setting up a self-hosted large language model environment is necessary; Tags unique to awesome-local-llm: ai, awesome-list, local-ai, self-hosted; - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options.
- When should I choose anubis-oss over awesome-local-llm?
- Choose anubis-oss over awesome-local-llm when License: anubis-oss is GPL-3.0, awesome-local-llm 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: 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 awesome-local-llm?
- - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources
- 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 awesome-local-llm or anubis-oss more popular on GitHub?
- awesome-local-llm has more GitHub stars (2,869 vs 207). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-local-llm and anubis-oss open source?
- Yes - both are open-source projects on GitHub (awesome-local-llm: MIT, anubis-oss: GPL-3.0).
- Where can I find alternatives to awesome-local-llm or anubis-oss?
- GraphCanon lists graph-backed alternatives at awesome-local-llm alternatives and anubis-oss alternatives (awesome-local-llm 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, awesome-local-llm or anubis-oss?
- awesome-local-llm: 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 awesome-local-llm and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-local-llm trust report; anubis-oss trust report.