GraphCanon
Home/Compare/go-stock vs langchain

Comparison

go-stock vs langchain

Verdict

Pick go-stock when go-stock is primarily Go; langchain is Python; pick langchain when langchain is primarily Python; go-stock is Go.

Markdown twin · go-stock alternatives · langchain alternatives

GraphCanon updated today

go-stock logo

go-stock

ArvinLovegood/go-stock

★ 6.9kpushed Jul 11, 2026
vs
langchain logo

langchain

langchain-ai/langchain

★ 142kpushed Jul 14, 2026

Trust & integrity

Signalgo-stocklangchain
Maintenance
Very active (4d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · 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
go-stock trust reportlangchain trust reportTrust methodology

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。
langchain
The agent engineering platform.

Stars

go-stock
6.9k
langchain
142k

Forks

go-stock
1.2k
langchain
24k

Open issues

go-stock
16
langchain
419

Language

go-stock
Go
langchain
Python

Adopt for

go-stock
-
langchain
LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect

Persona

go-stock
-
langchain
-

Runtime

go-stock
-
langchain
-

License

go-stock
GPL-3.0
langchain
MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.

Last pushed

go-stock
Jul 11, 2026
langchain
Jul 14, 2026

Categories

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

Trust and health

Days since push

go-stock
4d
langchain
0d

Open issues (now)

go-stock
16
langchain
419

Owner type

go-stock
User
langchain
Organization

OSV dependency advisories

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

Full report

go-stock
Trust report
langchain
Trust report

Choose go-stock if…

  • go-stock is primarily Go; langchain is Python.
  • License: go-stock is GPL-3.0, langchain is MIT.
  • Tags unique to go-stock: ai-tools, deepseek, golang, lmstudio.
  • Also covers Inference & Serving.

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.
GitHubDetails

Choose langchain if…

  • langchain is primarily Python; go-stock is Go.
  • License: langchain is MIT, go-stock is GPL-3.0.
  • Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
  • Tags unique to langchain: agents, ai-agents, anthropic, chatgpt.
  • * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.

When NOT to use langchain

  • * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
  • * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
  • * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
GitHubDetails

Explore

go-stock trust report →langchain trust report →AI Agents category →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

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 · langchain 142k (synced Jul 15, 2026).

Common questions

What is the difference between go-stock and langchain?
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。. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
When should I choose go-stock over langchain?
Choose go-stock over langchain when go-stock is primarily Go; langchain is Python; License: go-stock is GPL-3.0, langchain is MIT; Tags unique to go-stock: ai-tools, deepseek, golang, lmstudio; Also covers Inference & Serving.
When should I choose langchain over go-stock?
Choose langchain over go-stock when langchain is primarily Python; go-stock is Go; License: langchain is MIT, go-stock is GPL-3.0; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
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 langchain?
* When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
Is go-stock or langchain more popular on GitHub?
langchain has more GitHub stars (141,713 vs 6,888). Stars measure visibility, not whether either tool fits your constraints.
Are go-stock and langchain open source?
Yes - both are open-source projects on GitHub (go-stock: GPL-3.0, langchain: MIT).
Where can I find alternatives to go-stock or langchain?
GraphCanon lists graph-backed alternatives at go-stock alternatives and langchain alternatives (go-stock markdown twin, langchain 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 langchain?
go-stock: Very active. langchain: 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 go-stock and langchain?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: go-stock trust report; langchain trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.