Home/Compare/go-stock vs gpt4all

Comparison

go-stock vs gpt4all

Verdict

Pick go-stock when go-stock is primarily Go; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; go-stock is Go.

Markdown twin · go-stock alternatives · gpt4all alternatives

GraphCanon updated today

go-stock logo

go-stock

ArvinLovegood/go-stock

6.9kpushed Jul 11, 2026
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

77kpushed May 27, 2025

Trust & integrity

Signalgo-stockgpt4all
Maintenance
Very active (4d 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

go-stock
🦄🦄🦄AI赋能股票分析:AI加持的股票分析/选股工具。股票行情获取,AI热点资讯分析,AI资金/财务分析,涨跌报警推送。支持A股,港股,美股。支持市场整体/个股情绪分析,AI辅助选股等。数据全部保留在本地。支持DeepSeek,OpenAI, Ollama,LMStudio,AnythingLLM,硅基流动,火山方舟,阿里云百炼等平台或模型。
gpt4all
Run Local LLMs on Any Device

Stars

go-stock
6.9k
gpt4all
77k

Forks

go-stock
1.2k
gpt4all
8.3k

Open issues

go-stock
16
gpt4all
768

Language

go-stock
Go
gpt4all
C++

Adopt for

go-stock
-
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

go-stock
-
gpt4all
-

Runtime

go-stock
-
gpt4all
-

License

go-stock
GPL-3.0
gpt4all
MIT

Last pushed

go-stock
Jul 11, 2026
gpt4all
May 27, 2025

Categories

go-stock
AI Agents, Inference & Serving, LLM Frameworks
gpt4all
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

go-stock
Very active (96%)
gpt4all
Dormant (18%)

Days since push

go-stock
4d
gpt4all
409d

Open issues (now)

go-stock
16
gpt4all
768

Owner type

go-stock
User
gpt4all
Organization

OSV dependency advisories

go-stock
Published findings
gpt4all
No lockfile (source not queried)

Full report

go-stock
Trust report

Choose go-stock if…

  • go-stock is primarily Go; gpt4all is C++.
  • License: go-stock is GPL-3.0, gpt4all is MIT.
  • Tags unique to go-stock: ai-tools, deepseek, golang, lmstudio.
  • Also covers AI Agents.

When NOT to use go-stock

  • 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.

Choose gpt4all if…

  • gpt4all is primarily C++; go-stock is Go.
  • License: gpt4all is MIT, go-stock 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.

Explore

Sources

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

GitHub stars on cards: go-stock 6.9k · gpt4all 77k (synced Jul 15, 2026).

Common questions

What is the difference between go-stock and gpt4all?
go-stock: 🦄🦄🦄AI赋能股票分析:AI加持的股票分析/选股工具。股票行情获取,AI热点资讯分析,AI资金/财务分析,涨跌报警推送。支持A股,港股,美股。支持市场整体/个股情绪分析,AI辅助选股等。数据全部保留在本地。支持DeepSeek,OpenAI, Ollama,LMStudio,AnythingLLM,硅基流动,火山方舟,阿里云百炼等平台或模型。. gpt4all: Run Local LLMs on Any Device. See the comparison table for live GitHub stats and shared categories.
When should I choose go-stock over gpt4all?
Choose go-stock over gpt4all when go-stock is primarily Go; gpt4all is C++; License: go-stock is GPL-3.0, gpt4all is MIT; Tags unique to go-stock: ai-tools, deepseek, golang, lmstudio; Also covers AI Agents.
When should I choose gpt4all over go-stock?
Choose gpt4all over go-stock when gpt4all is primarily C++; go-stock is Go; License: gpt4all is MIT, go-stock 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 avoid go-stock?
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.
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 go-stock or gpt4all more popular on GitHub?
gpt4all has more GitHub stars (77,386 vs 6,888). Stars measure visibility, not whether either tool fits your constraints.
Are go-stock and gpt4all open source?
Yes - both are open-source projects on GitHub (go-stock: GPL-3.0, gpt4all: MIT).
Where can I find alternatives to go-stock or gpt4all?
GraphCanon lists graph-backed alternatives at go-stock alternatives and gpt4all alternatives (go-stock 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, go-stock or gpt4all?
go-stock: 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 go-stock and gpt4all?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: go-stock trust report; gpt4all trust report.

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