--- title: "langchain-decorators vs langchaingo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ju-bezdek-langchain-decorators-vs-tmc-langchaingo" tools: ["ju-bezdek-langchain-decorators", "tmc-langchaingo"] --- # langchain-decorators vs langchaingo *GraphCanon updated Aug 8, 2026* ## Verdict Pick langchain-decorators if langchain-decorators: syntax enhancer for better LangChain prompt engineering; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. [langchain-decorators](https://github.com/ju-bezdek/langchain-decorators) reports 233 GitHub stars, 12 forks, and 6 open issues, last pushed Apr 18, 2026. [langchaingo](https://tmc.github.io/langchaingo/) has 9.6k stars, 1.1k forks, and 410 open issues, last pushed Jan 11, 2026. Figures are from public GitHub metadata via [langchain-decorators's repository](https://github.com/ju-bezdek/langchain-decorators) and [langchaingo's repository](https://github.com/tmc/langchaingo). | | [langchain-decorators](/tools/ju-bezdek-langchain-decorators.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Tagline | syntactic sugar for langchain | LangChain for Go, the easiest way to write LLM-based programs in Go | | Stars | 233 | 9,600 | | Forks | 12 | 1,135 | | Open issues | 6 | 410 | | Language | Python | Go | | Adopt for | langchain-decorators: syntax enhancer for better LangChain prompt engineering. | LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain-decorators](/tools/ju-bezdek-langchain-decorators.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Days since push | 111d | 208d | | Open issues (now) | 6 | 410 | | Full report | [trust report](/tools/ju-bezdek-langchain-decorators/trust.md) | [trust report](/tools/tmc-langchaingo/trust.md) | ## Decision facts: langchain-decorators - **Adopt for:** langchain-decorators: syntax enhancer for better LangChain prompt engineering. ## Decision facts: langchaingo - **Adopt for:** LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. ## Choose when ### Choose langchain-decorators if… - langchain-decorators is primarily Python; langchaingo is Go. - Tags unique to langchain-decorators: llm, prompt-engineering. - Wants to streamline and simplify prompt engineering with LangChain. ### Choose langchaingo if… - langchaingo is primarily Go; langchain-decorators is Python. - Tags unique to langchaingo: ai, go, golang. - - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ## When NOT to use langchain-decorators - Needs tools without the added layer of abstraction decorators provide. - Seeks lower-level control over each function call without syntactic sugar. ## 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. ## Common questions ### What is the difference between langchain-decorators and langchaingo? langchain-decorators: syntactic sugar for langchain. 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 langchain-decorators over langchaingo? Choose langchain-decorators over langchaingo when langchain-decorators is primarily Python; langchaingo is Go; Tags unique to langchain-decorators: llm, prompt-engineering; Wants to streamline and simplify prompt engineering with LangChain. ### When should I choose langchaingo over langchain-decorators? Choose langchaingo over langchain-decorators when langchaingo is primarily Go; langchain-decorators is Python; Tags unique to langchaingo: ai, go, golang; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ### When should I avoid langchain-decorators? Needs tools without the added layer of abstraction decorators provide. Seeks lower-level control over each function call without syntactic sugar. ### 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 langchain-decorators or langchaingo more popular on GitHub? langchaingo has more GitHub stars (9,600 vs 233). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-decorators and langchaingo open source? Yes - both are open-source projects on GitHub (langchain-decorators: MIT, langchaingo: MIT). ### Where can I find alternatives to langchain-decorators or langchaingo? GraphCanon lists graph-backed alternatives at [langchain-decorators alternatives](/tools/ju-bezdek-langchain-decorators/alternatives) and [langchaingo alternatives](/tools/tmc-langchaingo/alternatives) ([langchain-decorators markdown twin](/tools/ju-bezdek-langchain-decorators/alternatives.md), [langchaingo markdown twin](/tools/tmc-langchaingo/alternatives.md)), 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](/compare/ju-bezdek-langchain-decorators-vs-tmc-langchaingo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain-decorators or langchaingo? langchain-decorators: Slowing. 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 langchain-decorators and langchaingo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-decorators trust report](/tools/ju-bezdek-langchain-decorators/trust); [langchaingo trust report](/tools/tmc-langchaingo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ju-bezdek-langchain-decorators`](/api/graphcanon/graph?tool=ju-bezdek-langchain-decorators) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_