Home/Compare/prompts.chat vs langchaingo

Comparison

prompts.chat vs langchaingo

Verdict

Pick prompts.chat if critical decision points for evaluating `prompts.chat`; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.

Markdown twin · prompts.chat alternatives · langchaingo alternatives

GraphCanon updated today

prompts.chat logo

prompts.chat

f/prompts.chat

165kpushed Jul 11, 2026
vs
langchaingo logo

langchaingo

tmc/langchaingo

9.5kpushed Jan 11, 2026

Trust & integrity

Signalprompts.chatlangchaingo
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (180d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
22 low (22 low)
As of today · osv@v1

Tagline

prompts.chat
Share, discover, and collect prompts from the community
langchaingo
LangChain for Go, the easiest way to write LLM-based programs in Go

Stars

prompts.chat
165k
langchaingo
9.5k

Forks

prompts.chat
21k
langchaingo
1.1k

Open issues

prompts.chat
60
langchaingo
404

Language

prompts.chat
HTML
langchaingo
Go

Adopt for

prompts.chat
Critical decision points for evaluating `prompts.chat`
langchaingo
LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.

Persona

prompts.chat
-
langchaingo
-

Runtime

prompts.chat
-
langchaingo
-

License

prompts.chat
Other
langchaingo
MIT

Last pushed

prompts.chat
Jul 11, 2026
langchaingo
Jan 11, 2026

Categories

prompts.chat
LLM Frameworks, Developer Tools
langchaingo
LLM Frameworks, Developer Tools

Trust and health

Maintenance

prompts.chat
Very active (96%)
langchaingo
Slowing (36%)

Days since push

prompts.chat
0d
langchaingo
180d

Open issues (now)

prompts.chat
60
langchaingo
404

Security scan

prompts.chat
No lockfile
langchaingo
22 low (22 low)

Full report

prompts.chat
Trust report
langchaingo
Trust report

Choose prompts.chat if…

  • prompts.chat is primarily HTML; langchaingo is Go.
  • License: prompts.chat is Other, langchaingo is MIT.
  • Tags unique to prompts.chat: llm, artificial-intelligence, gemini, machine-learning.
  • Critical decision points for evaluating `prompts.chat`

When NOT to use prompts.chat

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose langchaingo if…

  • langchaingo is primarily Go; prompts.chat is HTML.
  • License: langchaingo is MIT, prompts.chat is Other.
  • Tags unique to langchaingo: go, langchain, golang.
  • - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.

When NOT to use langchaingo

  • - If your project strictly adheres to another programming language where other implementations of LangChain are available.
  • - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.

Explore

Sources

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

GitHub stars on cards: prompts.chat 165k · langchaingo 9.5k (synced Jul 11, 2026).

Common questions

What is the difference between prompts.chat and langchaingo?
prompts.chat: Share, discover, and collect prompts from the community. langchaingo: LangChain for Go, the easiest way to write LLM-based programs in Go. See the comparison table for live GitHub stats and shared categories.
When should I choose prompts.chat over langchaingo?
Choose prompts.chat over langchaingo when prompts.chat is primarily HTML; langchaingo is Go; License: prompts.chat is Other, langchaingo is MIT; Tags unique to prompts.chat: llm, artificial-intelligence, gemini, machine-learning; Critical decision points for evaluating prompts.chat.
When should I choose langchaingo over prompts.chat?
Choose langchaingo over prompts.chat when langchaingo is primarily Go; prompts.chat is HTML; License: langchaingo is MIT, prompts.chat is Other; Tags unique to langchaingo: go, langchain, golang; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
When should I avoid prompts.chat?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid langchaingo?
- If your project strictly adheres to another programming language where other implementations of LangChain are available. - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.
Is prompts.chat or langchaingo more popular on GitHub?
prompts.chat has more GitHub stars (165,372 vs 9,527). Stars measure visibility, not whether either tool fits your constraints.
Are prompts.chat and langchaingo open source?
Yes - both are open-source projects on GitHub (prompts.chat: Other, langchaingo: MIT).
Where can I find alternatives to prompts.chat or langchaingo?
GraphCanon lists graph-backed alternatives at prompts.chat alternatives and langchaingo alternatives (prompts.chat markdown twin, langchaingo 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, prompts.chat or langchaingo?
prompts.chat: Very active. langchaingo: Slowing. 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 prompts.chat and langchaingo?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prompts.chat trust report; langchaingo trust report.