--- title: "chainlit vs langchaingo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chainlit-chainlit-vs-tmc-langchaingo" tools: ["chainlit-chainlit", "tmc-langchaingo"] --- # chainlit vs langchaingo *GraphCanon updated Aug 8, 2026* ## Verdict Pick chainlit if chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. [chainlit](https://docs.chainlit.io) reports 12k GitHub stars, 1.7k forks, and 142 open issues, last pushed Aug 4, 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 [chainlit's repository](https://github.com/Chainlit/chainlit) and [langchaingo's repository](https://github.com/tmc/langchaingo). | | [chainlit](/tools/chainlit-chainlit.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Tagline | Build Conversational AI in minutes ⚡️ | LangChain for Go, the easiest way to write LLM-based programs in Go | | Stars | 12,373 | 9,600 | | Forks | 1,728 | 1,135 | | Open issues | 142 | 410 | | Language | Python | Go | | Adopt for | Chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps. | LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chainlit](/tools/chainlit-chainlit.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 3d | 208d | | Open issues (now) | 142 | 410 | | Owner type | Organization | User | | Full report | [trust report](/tools/chainlit-chainlit/trust.md) | [trust report](/tools/tmc-langchaingo/trust.md) | ## Decision facts: chainlit - **Adopt for:** Chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps. ## 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 chainlit if… - chainlit is primarily Python; langchaingo is Go. - License: chainlit is Apache-2.0, langchaingo is MIT. - Tags unique to chainlit: chatgpt, llm, openai, openai-chatgpt. - Also covers AI Agents. - - When you want to develop conversational AI applications rapidly using familiar Python syntax. ### Choose langchaingo if… - langchaingo is primarily Go; chainlit is Python. - License: langchaingo is MIT, chainlit is Apache-2.0. - Tags unique to langchaingo: ai, go, golang. - Also covers Developer Tools. - - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ## When NOT to use chainlit - - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development. - - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds. ## 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 chainlit and langchaingo? chainlit: Build Conversational AI in minutes ⚡️. 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 chainlit over langchaingo? Choose chainlit over langchaingo when chainlit is primarily Python; langchaingo is Go; License: chainlit is Apache-2.0, langchaingo is MIT; Tags unique to chainlit: chatgpt, llm, openai, openai-chatgpt; Also covers AI Agents; - When you want to develop conversational AI applications rapidly using familiar Python syntax. ### When should I choose langchaingo over chainlit? Choose langchaingo over chainlit when langchaingo is primarily Go; chainlit is Python; License: langchaingo is MIT, chainlit is Apache-2.0; Tags unique to langchaingo: ai, go, golang; Also covers Developer Tools; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ### When should I avoid chainlit? - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development. - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds. ### 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 chainlit or langchaingo more popular on GitHub? chainlit has more GitHub stars (12,373 vs 9,600). Stars measure visibility, not whether either tool fits your constraints. ### Are chainlit and langchaingo open source? Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, langchaingo: MIT). ### Where can I find alternatives to chainlit or langchaingo? GraphCanon lists graph-backed alternatives at [chainlit alternatives](/tools/chainlit-chainlit/alternatives) and [langchaingo alternatives](/tools/tmc-langchaingo/alternatives) ([chainlit markdown twin](/tools/chainlit-chainlit/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/chainlit-chainlit-vs-tmc-langchaingo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chainlit or langchaingo? chainlit: 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 chainlit and langchaingo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chainlit trust report](/tools/chainlit-chainlit/trust); [langchaingo trust report](/tools/tmc-langchaingo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chainlit-chainlit`](/api/graphcanon/graph?tool=chainlit-chainlit) - 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/_