Comparison
gpt4all vs locally-uncensored
Verdict
Pick gpt4all when gpt4all is primarily C++; locally-uncensored is TypeScript; pick locally-uncensored when locally-uncensored is primarily TypeScript; gpt4all is C++.
Markdown twin · gpt4all alternatives · locally-uncensored alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | gpt4all | locally-uncensored |
|---|---|---|
| Maintenance | Dormant (409d since push) As of 4d · github_public_v1 | Very active (0d 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
- locally-uncensored
- Uncensored local AI desktop app: chat, agent mode, image & video generation. Run abliterated/uncensored LLMs + ComfyUI fully offline with your own provider. Single .exe, no Docker.
Stars
- gpt4all
- 77k
- locally-uncensored
- 902
Forks
- gpt4all
- 8.3k
- locally-uncensored
- 143
Open issues
- gpt4all
- 768
- locally-uncensored
- 10
Language
- gpt4all
- C++
- locally-uncensored
- TypeScript
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++.
- locally-uncensored
- -
Persona
- gpt4all
- -
- locally-uncensored
- -
Runtime
- gpt4all
- -
- locally-uncensored
- -
License
- gpt4all
- MIT
- locally-uncensored
- Other
Last pushed
- gpt4all
- May 27, 2025
- locally-uncensored
- Jul 14, 2026
Categories
- gpt4all
- Inference & Serving, LLM Frameworks
- locally-uncensored
- AI Agents, Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- gpt4all
- Dormant (18%)
- locally-uncensored
- Very active (96%)
Days since push
- gpt4all
- 409d
- locally-uncensored
- 0d
Open issues (now)
- gpt4all
- 768
- locally-uncensored
- 10
Owner type
- gpt4all
- Organization
- locally-uncensored
- User
Full report
- gpt4all
- Trust report
- locally-uncensored
- Trust report
Choose gpt4all if…
- gpt4all is primarily C++; locally-uncensored is TypeScript.
- License: gpt4all is MIT, locally-uncensored is Other.
- Tags unique to gpt4all: 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 locally-uncensored if…
- locally-uncensored is primarily TypeScript; gpt4all is C++.
- License: locally-uncensored is Other, gpt4all is MIT.
- Tags unique to locally-uncensored: abliterated, agent-mode, ai, comfyui.
- Also covers AI Agents.
When NOT to use locally-uncensored
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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 (PurpleDoubleD/locally-uncensored) · observed Jul 15, 2026
- GitHub forks (PurpleDoubleD/locally-uncensored) · observed Jul 15, 2026
- Last push (PurpleDoubleD/locally-uncensored) · observed Jul 14, 2026
- License file (Other) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: gpt4all 77k · locally-uncensored 902 (synced Jul 11, 2026).
Common questions
- What is the difference between gpt4all and locally-uncensored?
- gpt4all: Run Local LLMs on Any Device. locally-uncensored: Uncensored local AI desktop app: chat, agent mode, image & video generation. Run abliterated/uncensored LLMs + ComfyUI fully offline with your own provider. Single .exe, no Docker.. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt4all over locally-uncensored?
- Choose gpt4all over locally-uncensored when gpt4all is primarily C++; locally-uncensored is TypeScript; License: gpt4all is MIT, locally-uncensored is Other; Tags unique to gpt4all: llm-inference; - When you require on-device inference capabilities without reliance on cloud services.
- When should I choose locally-uncensored over gpt4all?
- Choose locally-uncensored over gpt4all when locally-uncensored is primarily TypeScript; gpt4all is C++; License: locally-uncensored is Other, gpt4all is MIT; Tags unique to locally-uncensored: abliterated, agent-mode, ai, comfyui; Also covers AI Agents.
- 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 locally-uncensored?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 locally-uncensored more popular on GitHub?
- gpt4all has more GitHub stars (77,386 vs 902). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt4all and locally-uncensored open source?
- Yes - both are open-source projects on GitHub (gpt4all: MIT, locally-uncensored: Other).
- Where can I find alternatives to gpt4all or locally-uncensored?
- GraphCanon lists graph-backed alternatives at gpt4all alternatives and locally-uncensored alternatives (gpt4all markdown twin, locally-uncensored 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 locally-uncensored?
- gpt4all: Dormant. locally-uncensored: 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 gpt4all and locally-uncensored?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt4all trust report; locally-uncensored trust report.