--- title: "langchain vs langchain_dart" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/brainlid-langchain-vs-davidmigloz-langchain-dart" tools: ["brainlid-langchain", "davidmigloz-langchain-dart"] --- # langchain vs langchain_dart *GraphCanon updated Aug 8, 2026* ## Verdict Pick langchain if langChain framework tailored for Elixir projects; pick langchain_dart if unveils capabilities for LLM-powered Dart/Flutter applications with a focus on component chaining and RAG pipelines. [langchain](https://hexdocs.pm/langchain/) reports 1.2k GitHub stars, 212 forks, and 30 open issues, last pushed Aug 6, 2026. [langchain_dart](http://davidmigloz.github.io/langchain_dart/) has 685 stars, 154 forks, and 20 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [langchain's repository](https://github.com/brainlid/langchain) and [langchain_dart's repository](https://github.com/davidmigloz/langchain_dart). | | [langchain](/tools/brainlid-langchain.md) | [langchain_dart](/tools/davidmigloz-langchain-dart.md) | | --- | --- | --- | | Tagline | Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs. | Build LLM-powered Dart/Flutter applications. | | Stars | 1,192 | 685 | | Forks | 212 | 154 | | Open issues | 30 | 20 | | Language | Elixir | Dart | | Adopt for | LangChain framework tailored for Elixir projects | Unveils capabilities for LLM-powered Dart/Flutter applications with a focus on component chaining and RAG pipelines. | | Persona | - | - | | Runtime | - | - | | License | Other | LangChain.dart operates under the permissive MIT License, allowing free use and modification as long as copyright and license information are preserved. | | Categories | LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/brainlid-langchain.md) | [langchain_dart](/tools/davidmigloz-langchain-dart.md) | | --- | --- | --- | | Days since push | 1d | 5d | | Open issues (now) | 30 | 20 | | Full report | [trust report](/tools/brainlid-langchain/trust.md) | [trust report](/tools/davidmigloz-langchain-dart/trust.md) | ## Shared compatibility - **LangChain**: [langchain](/tools/brainlid-langchain.md) - LangChain integration; [langchain_dart](/tools/davidmigloz-langchain-dart.md) - LangChain integration ## 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: langchain_dart - **Pricing:** freemium - Freely available for use and licensed under MIT. No explicit service-level pricing is outlined beyond potential costs from using integrated third-party models or services. - **Adopt for:** Unveils capabilities for LLM-powered Dart/Flutter applications with a focus on component chaining and RAG pipelines. - **License detail:** LangChain.dart operates under the permissive MIT License, allowing free use and modification as long as copyright and license information are preserved. ## Choose when ### Choose langchain if… - langchain is primarily Elixir; langchain_dart is Dart. - License: langchain is Other, langchain_dart is MIT. - Requirements: Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation. - Tags unique to langchain: anthropic, bumblebee, chatgpt, claude-ai. - You are working on an Elixir project and want to integrate advanced Language Model capabilities. ### Choose langchain_dart if… - langchain_dart is primarily Dart; langchain is Elixir. - License: langchain_dart is MIT, langchain is Other. - Pricing: Freely available for use and licensed under MIT. No explicit service-level pricing is outlined beyond potential costs from using integrated third-party models or services.. - Tags unique to langchain_dart: dart, flutter, generative-ai, llms. - Also covers Data & Retrieval. - You are developing Dart or Flutter applications that require integration with various Language Models (LLMs) without rewriting extensive connectivity code. ## 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 langchain_dart - Your application does not require the chaining of multiple components or complex use cases such as RAG pipelines and can function with direct, simple API calls to language models. - You are looking for a framework that supports languages other than Dart; LangChain.dart is specifically designed for Dart/Flutter applications only. - You have specific requirements or constraints around licensing that do not align with the MIT License under which LangChain.dart is released. ## Common questions ### What is the difference between langchain and langchain_dart? langchain: Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs.. langchain_dart: Build LLM-powered Dart/Flutter applications.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over langchain_dart? Choose langchain over langchain_dart when langchain is primarily Elixir; langchain_dart is Dart; License: langchain is Other, langchain_dart is MIT; Requirements: Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation; Tags unique to langchain: anthropic, bumblebee, chatgpt, claude-ai; You are working on an Elixir project and want to integrate advanced Language Model capabilities. ### When should I choose langchain_dart over langchain? Choose langchain_dart over langchain when langchain_dart is primarily Dart; langchain is Elixir; License: langchain_dart is MIT, langchain is Other; Pricing: Freely available for use and licensed under MIT. No explicit service-level pricing is outlined beyond potential costs from using integrated third-party models or services.; Tags unique to langchain_dart: dart, flutter, generative-ai, llms; Also covers Data & Retrieval; You are developing Dart or Flutter applications that require integration with various Language Models (LLMs) without rewriting extensive connectivity code. ### 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 langchain_dart? Your application does not require the chaining of multiple components or complex use cases such as RAG pipelines and can function with direct, simple API calls to language models. You are looking for a framework that supports languages other than Dart; LangChain.dart is specifically designed for Dart/Flutter applications only. You have specific requirements or constraints around licensing that do not align with the MIT License under which LangChain.dart is released. ### Is langchain or langchain_dart more popular on GitHub? langchain has more GitHub stars (1,192 vs 685). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and langchain_dart open source? Yes - both are open-source projects on GitHub (langchain: Other, langchain_dart: MIT). ### Where can I find alternatives to langchain or langchain_dart? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/brainlid-langchain/alternatives) and [langchain_dart alternatives](/tools/davidmigloz-langchain-dart/alternatives) ([langchain markdown twin](/tools/brainlid-langchain/alternatives.md), [langchain_dart markdown twin](/tools/davidmigloz-langchain-dart/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-davidmigloz-langchain-dart.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or langchain_dart? langchain: Very active. langchain_dart: 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 langchain_dart? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/brainlid-langchain/trust); [langchain_dart trust report](/tools/davidmigloz-langchain-dart/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/_