Home/Compare/enchanted vs gpt4all

Comparison

enchanted vs gpt4all

Verdict

Pick enchanted when enchanted is primarily Swift; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; enchanted is Swift.

Markdown twin · enchanted alternatives · gpt4all alternatives

GraphCanon updated today

enchanted logo

enchanted

gluonfield/enchanted

6.0kpushed Jul 7, 2026
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

77kpushed May 27, 2025

Trust & integrity

Signalenchantedgpt4all
Maintenance
Active (7d since push)
As of today · github_public_v1
Dormant (409d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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

enchanted
Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
gpt4all
Run Local LLMs on Any Device

Stars

enchanted
6.0k
gpt4all
77k

Forks

enchanted
420
gpt4all
8.3k

Open issues

enchanted
111
gpt4all
768

Language

enchanted
Swift
gpt4all
C++

Adopt for

enchanted
-
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++.

Persona

enchanted
-
gpt4all
-

Runtime

enchanted
-
gpt4all
-

License

enchanted
Apache-2.0
gpt4all
MIT

Last pushed

enchanted
Jul 7, 2026
gpt4all
May 27, 2025

Categories

enchanted
Inference & Serving, LLM Frameworks, Speech & Audio
gpt4all
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

enchanted
Active (82%)
gpt4all
Dormant (18%)

Days since push

enchanted
7d
gpt4all
409d

Open issues (now)

enchanted
111
gpt4all
768

Owner type

enchanted
User
gpt4all
Organization

Full report

enchanted
Trust report

Choose enchanted if…

  • enchanted is primarily Swift; gpt4all is C++.
  • License: enchanted is Apache-2.0, gpt4all is MIT.
  • Tags unique to enchanted: ios, large-language-model, llama, llama2.
  • Also covers Speech & Audio.

When NOT to use enchanted

  • 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.

Choose gpt4all if…

  • gpt4all is primarily C++; enchanted is Swift.
  • License: gpt4all is MIT, enchanted is Apache-2.0.
  • 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.

Explore

Sources

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

GitHub stars on cards: enchanted 6.0k · gpt4all 77k (synced Jul 15, 2026).

Common questions

What is the difference between enchanted and gpt4all?
enchanted: Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.. gpt4all: Run Local LLMs on Any Device. See the comparison table for live GitHub stats and shared categories.
When should I choose enchanted over gpt4all?
Choose enchanted over gpt4all when enchanted is primarily Swift; gpt4all is C++; License: enchanted is Apache-2.0, gpt4all is MIT; Tags unique to enchanted: ios, large-language-model, llama, llama2; Also covers Speech & Audio.
When should I choose gpt4all over enchanted?
Choose gpt4all over enchanted when gpt4all is primarily C++; enchanted is Swift; License: gpt4all is MIT, enchanted is Apache-2.0; Tags unique to gpt4all: ai-chat, llm-inference; - When you require on-device inference capabilities without reliance on cloud services.
When should I avoid enchanted?
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.
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.
Is enchanted or gpt4all more popular on GitHub?
gpt4all has more GitHub stars (77,386 vs 5,974). Stars measure visibility, not whether either tool fits your constraints.
Are enchanted and gpt4all open source?
Yes - both are open-source projects on GitHub (enchanted: Apache-2.0, gpt4all: MIT).
Where can I find alternatives to enchanted or gpt4all?
GraphCanon lists graph-backed alternatives at enchanted alternatives and gpt4all alternatives (enchanted markdown twin, gpt4all 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, enchanted or gpt4all?
enchanted: Active. gpt4all: Dormant. 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 enchanted and gpt4all?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: enchanted trust report; gpt4all trust report.

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