Home/Compare/paperless-gpt vs gpt4all

Comparison

paperless-gpt vs gpt4all

Verdict

Pick paperless-gpt when paperless-gpt is primarily Go; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; paperless-gpt is Go.

Markdown twin · paperless-gpt alternatives · gpt4all alternatives

GraphCanon updated today

paperless-gpt logo

paperless-gpt

icereed/paperless-gpt

2.5kpushed Jul 13, 2026
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

77kpushed May 27, 2025

Trust & integrity

Signalpaperless-gptgpt4all
Maintenance
Very active (2d 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
Published findings
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

paperless-gpt
Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI
gpt4all
Run Local LLMs on Any Device

Stars

paperless-gpt
2.5k
gpt4all
77k

Forks

paperless-gpt
185
gpt4all
8.3k

Open issues

paperless-gpt
154
gpt4all
768

Language

paperless-gpt
Go
gpt4all
C++

Adopt for

paperless-gpt
-
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

paperless-gpt
-
gpt4all
-

Runtime

paperless-gpt
-
gpt4all
-

License

paperless-gpt
MIT
gpt4all
MIT

Last pushed

paperless-gpt
Jul 13, 2026
gpt4all
May 27, 2025

Categories

paperless-gpt
Computer Vision, Inference & Serving, LLM Frameworks
gpt4all
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

paperless-gpt
Very active (96%)
gpt4all
Dormant (18%)

Days since push

paperless-gpt
2d
gpt4all
409d

Open issues (now)

paperless-gpt
154
gpt4all
768

Owner type

paperless-gpt
User
gpt4all
Organization

OSV dependency advisories

paperless-gpt
Published findings
gpt4all
No lockfile (source not queried)

Full report

paperless-gpt
Trust report

Choose paperless-gpt if…

  • paperless-gpt is primarily Go; gpt4all is C++.
  • Tags unique to paperless-gpt: ai, chatgpt, llm, mistral.
  • Also covers Computer Vision.
  • paperless-gpt ships Docker support for self-hosted deployment.

When NOT to use paperless-gpt

  • 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++; paperless-gpt is Go.
  • 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: paperless-gpt 2.5k · gpt4all 77k (synced Jul 15, 2026).

Common questions

What is the difference between paperless-gpt and gpt4all?
paperless-gpt: Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI. gpt4all: Run Local LLMs on Any Device. See the comparison table for live GitHub stats and shared categories.
When should I choose paperless-gpt over gpt4all?
Choose paperless-gpt over gpt4all when paperless-gpt is primarily Go; gpt4all is C++; Tags unique to paperless-gpt: ai, chatgpt, llm, mistral; Also covers Computer Vision; paperless-gpt ships Docker support for self-hosted deployment.
When should I choose gpt4all over paperless-gpt?
Choose gpt4all over paperless-gpt when gpt4all is primarily C++; paperless-gpt is Go; Tags unique to gpt4all: ai-chat, llm-inference; - When you require on-device inference capabilities without reliance on cloud services.
When should I avoid paperless-gpt?
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 paperless-gpt or gpt4all more popular on GitHub?
gpt4all has more GitHub stars (77,386 vs 2,533). Stars measure visibility, not whether either tool fits your constraints.
Are paperless-gpt and gpt4all open source?
Yes - both are open-source projects on GitHub (paperless-gpt: MIT, gpt4all: MIT).
Where can I find alternatives to paperless-gpt or gpt4all?
GraphCanon lists graph-backed alternatives at paperless-gpt alternatives and gpt4all alternatives (paperless-gpt 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, paperless-gpt or gpt4all?
paperless-gpt: Very 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 paperless-gpt and gpt4all?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paperless-gpt trust report; gpt4all trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.