Comparison
gpt4all vs anubis-oss
Verdict
Pick gpt4all when gpt4all is primarily C++; anubis-oss is Swift; pick anubis-oss when anubis-oss is primarily Swift; gpt4all is C++.
Markdown twin · gpt4all alternatives · anubis-oss alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | gpt4all | anubis-oss |
|---|---|---|
| Maintenance | Dormant (409d since push) As of 4d · github_public_v1 | Active (27d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- gpt4all
- Run Local LLMs on Any Device
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- gpt4all
- 77k
- anubis-oss
- 195
Forks
- gpt4all
- 8.3k
- anubis-oss
- 11
Open issues
- gpt4all
- 768
- anubis-oss
- 2
Language
- gpt4all
- C++
- anubis-oss
- Swift
Adopt for
- gpt4all
- GPT4All is an open-source project designed to facilitate the local deployment of large language models (LLMs). It supports commercial usage with a permissive MIT license and is implemented in C++.
- anubis-oss
- -
Persona
- gpt4all
- -
- anubis-oss
- -
Runtime
- gpt4all
- -
- anubis-oss
- -
License
- gpt4all
- MIT
- anubis-oss
- GPL-3.0
Last pushed
- gpt4all
- May 27, 2025
- anubis-oss
- Jun 18, 2026
Categories
- gpt4all
- Inference & Serving, LLM Frameworks
- anubis-oss
- Evaluation & Observability, Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- gpt4all
- Dormant (18%)
- anubis-oss
- Active (82%)
Days since push
- gpt4all
- 409d
- anubis-oss
- 27d
Open issues (now)
- gpt4all
- 768
- anubis-oss
- 2
Owner type
- gpt4all
- Organization
- anubis-oss
- User
Full report
- gpt4all
- Trust report
- anubis-oss
- Trust report
Choose gpt4all if…
- gpt4all is primarily C++; anubis-oss is Swift.
- License: gpt4all is MIT, anubis-oss is GPL-3.0.
- Tags unique to gpt4all: ai-chat, llm-inference.
- - When you require on-device inference capabilities without reliance on cloud services.
When NOT to use gpt4all
- - In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation.
- - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments.
Choose anubis-oss if…
- anubis-oss is primarily Swift; gpt4all is C++.
- License: anubis-oss is GPL-3.0, gpt4all is MIT.
- Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference.
- Also covers Evaluation & Observability.
When NOT to use anubis-oss
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nomic-ai/gpt4all) · observed Jul 11, 2026
- GitHub forks (nomic-ai/gpt4all) · observed Jul 11, 2026
- Last push (nomic-ai/gpt4all) · observed May 27, 2025
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (uncSoft/anubis-oss) · observed Jul 15, 2026
- GitHub forks (uncSoft/anubis-oss) · observed Jul 15, 2026
- Last push (uncSoft/anubis-oss) · observed Jun 18, 2026
- License file (GPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: gpt4all 77k · anubis-oss 195 (synced Jul 11, 2026).
Common questions
- What is the difference between gpt4all and anubis-oss?
- gpt4all: Run Local LLMs on Any Device. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt4all over anubis-oss?
- Choose gpt4all over anubis-oss when gpt4all is primarily C++; anubis-oss is Swift; License: gpt4all is MIT, anubis-oss is GPL-3.0; Tags unique to gpt4all: ai-chat, llm-inference; - When you require on-device inference capabilities without reliance on cloud services.
- When should I choose anubis-oss over gpt4all?
- Choose anubis-oss over gpt4all when anubis-oss is primarily Swift; gpt4all is C++; License: anubis-oss is GPL-3.0, gpt4all is MIT; Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference; Also covers Evaluation & Observability.
- When should I avoid gpt4all?
- - In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation. - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments.
- When should I avoid anubis-oss?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is gpt4all or anubis-oss more popular on GitHub?
- gpt4all has more GitHub stars (77,386 vs 195). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt4all and anubis-oss open source?
- Yes - both are open-source projects on GitHub (gpt4all: MIT, anubis-oss: GPL-3.0).
- Where can I find alternatives to gpt4all or anubis-oss?
- GraphCanon lists graph-backed alternatives at gpt4all alternatives and anubis-oss alternatives (gpt4all 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, gpt4all or anubis-oss?
- gpt4all: Dormant. 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 gpt4all and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt4all trust report; anubis-oss trust report.