--- title: "langchain vs chainlit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/brainlid-langchain-vs-chainlit-chainlit" tools: ["brainlid-langchain", "chainlit-chainlit"] --- # langchain vs chainlit *GraphCanon updated Aug 8, 2026* ## Verdict Pick langchain if langChain framework tailored for Elixir projects; 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. [langchain](https://hexdocs.pm/langchain/) reports 1.2k GitHub stars, 212 forks, and 30 open issues, last pushed Aug 6, 2026. [chainlit](https://docs.chainlit.io) has 12k stars, 1.7k forks, and 142 open issues, last pushed Aug 4, 2026. Figures are from public GitHub metadata via [langchain's repository](https://github.com/brainlid/langchain) and [chainlit's repository](https://github.com/Chainlit/chainlit). | | [langchain](/tools/brainlid-langchain.md) | [chainlit](/tools/chainlit-chainlit.md) | | --- | --- | --- | | Tagline | Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs. | Build Conversational AI in minutes ⚡️ | | Stars | 1,192 | 12,373 | | Forks | 212 | 1,728 | | Open issues | 30 | 142 | | Language | Elixir | Python | | Adopt for | LangChain framework tailored for Elixir projects | 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. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/brainlid-langchain.md) | [chainlit](/tools/chainlit-chainlit.md) | | --- | --- | --- | | Days since push | 1d | 3d | | Open issues (now) | 30 | 142 | | Owner type | User | Organization | | Full report | [trust report](/tools/brainlid-langchain/trust.md) | [trust report](/tools/chainlit-chainlit/trust.md) | ## Decision facts: langchain - **Requirements:** Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation - **Adopt for:** LangChain framework tailored for Elixir projects ## 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. ## Choose when ### Choose langchain if… - langchain is primarily Elixir; chainlit is Python. - License: langchain is Other, chainlit is Apache-2.0. - Requirements: Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation. - Tags unique to langchain: ai, anthropic, bumblebee, claude-ai. - You are working on an Elixir project and want to integrate advanced Language Model capabilities. ### Choose chainlit if… - chainlit is primarily Python; langchain is Elixir. - License: chainlit is Apache-2.0, langchain is Other. - Tags unique to chainlit: openai, openai-chatgpt, python, ui. - Also covers AI Agents. - - When you want to develop conversational AI applications rapidly using familiar Python syntax. ## When NOT to use langchain - Your project is not written in Elixir, as this framework does not offer official support for other programming languages. - If your requirements mandate a non-Elixir environment or dependency ecosystem, such as Python which has more mature LLM frameworks. ## 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. ## Common questions ### What is the difference between langchain and chainlit? langchain: Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs.. chainlit: Build Conversational AI in minutes ⚡️. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over chainlit? Choose langchain over chainlit when langchain is primarily Elixir; chainlit is Python; License: langchain is Other, chainlit is Apache-2.0; Requirements: Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation; Tags unique to langchain: ai, anthropic, bumblebee, claude-ai; You are working on an Elixir project and want to integrate advanced Language Model capabilities. ### When should I choose chainlit over langchain? Choose chainlit over langchain when chainlit is primarily Python; langchain is Elixir; License: chainlit is Apache-2.0, langchain is Other; Tags unique to chainlit: openai, openai-chatgpt, python, ui; Also covers AI Agents; - When you want to develop conversational AI applications rapidly using familiar Python syntax. ### When should I avoid langchain? Your project is not written in Elixir, as this framework does not offer official support for other programming languages. If your requirements mandate a non-Elixir environment or dependency ecosystem, such as Python which has more mature LLM frameworks. ### 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. ### Is langchain or chainlit more popular on GitHub? chainlit has more GitHub stars (12,373 vs 1,192). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and chainlit open source? Yes - both are open-source projects on GitHub (langchain: Other, chainlit: Apache-2.0). ### Where can I find alternatives to langchain or chainlit? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/brainlid-langchain/alternatives) and [chainlit alternatives](/tools/chainlit-chainlit/alternatives) ([langchain markdown twin](/tools/brainlid-langchain/alternatives.md), [chainlit markdown twin](/tools/chainlit-chainlit/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/brainlid-langchain-vs-chainlit-chainlit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or chainlit? langchain: Very active. chainlit: 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 langchain and chainlit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/brainlid-langchain/trust); [chainlit trust report](/tools/chainlit-chainlit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=brainlid-langchain`](/api/graphcanon/graph?tool=brainlid-langchain) - 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/_