--- title: "langchain vs codespaces-langchain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/brainlid-langchain-vs-lostintangent-codespaces-langchain" tools: ["brainlid-langchain", "lostintangent-codespaces-langchain"] --- # langchain vs codespaces-langchain *GraphCanon updated Aug 15, 2026* ## Verdict Pick langchain if langChain framework tailored for Elixir projects; pick codespaces-langchain if codespaces-langchain is tailored for streamlined integration of LangChain within the GitHub Codespaces environment. [langchain](https://hexdocs.pm/langchain/) reports 1.2k GitHub stars, 212 forks, and 30 open issues, last pushed Aug 6, 2026. [codespaces-langchain](https://github.com/lostintangent/codespaces-langchain) has 113 stars, 22 forks, and 5 open issues, last pushed Mar 22, 2023. Figures are from public GitHub metadata via [langchain's repository](https://github.com/brainlid/langchain) and [codespaces-langchain's repository](https://github.com/lostintangent/codespaces-langchain). | | [langchain](/tools/brainlid-langchain.md) | [codespaces-langchain](/tools/lostintangent-codespaces-langchain.md) | | --- | --- | --- | | Tagline | Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs. | A Codespaces template for getting up-and-running with LangChain in seconds | | Stars | 1,192 | 113 | | Forks | 212 | 22 | | Open issues | 30 | 5 | | Language | Elixir | - | | Adopt for | LangChain framework tailored for Elixir projects | codespaces-langchain is tailored for streamlined integration of LangChain within the GitHub Codespaces environment. | | Persona | - | - | | Runtime | - | - | | License | Other | - | | Categories | LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/brainlid-langchain.md) | [codespaces-langchain](/tools/lostintangent-codespaces-langchain.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 1241d | | Open issues (now) | 30 | 5 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/brainlid-langchain/trust.md) | [trust report](/tools/lostintangent-codespaces-langchain/trust.md) | ## Shared compatibility - **LangChain**: [langchain](/tools/brainlid-langchain.md) - LangChain integration; [codespaces-langchain](/tools/lostintangent-codespaces-langchain.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: codespaces-langchain - **Requirements:** API keys from OpenAI (and optionally SerpAPI) are necessary to operate this tool. - **Adopt for:** codespaces-langchain is tailored for streamlined integration of LangChain within the GitHub Codespaces environment. ## Choose when ### Choose langchain if… - Requirements: Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation. - Tags unique to langchain: ai, anthropic, bumblebee, chatgpt. - You are working on an Elixir project and want to integrate advanced Language Model capabilities. ### Choose codespaces-langchain if… - Requirements: API keys from OpenAI (and optionally SerpAPI) are necessary to operate this tool.. - Tags unique to codespaces-langchain: codespaces, notebooks, openai-api. - Also covers Developer Tools. - This tool is ideal when working specifically with LangChain and wanting to leverage GitHub Codespaces for a seamless setup experience. ## 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 codespaces-langchain - Avoid this if your project requires customization beyond what's provided by default, as this template may not cover all specific needs without significant modification. - They might be less suitable for users new to both LangChain and GitHub Codespaces, who need more detailed onboarding support than the repository README provides. ## Common questions ### What is the difference between langchain and codespaces-langchain? langchain: Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs.. codespaces-langchain: A Codespaces template for getting up-and-running with LangChain in seconds. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over codespaces-langchain? Choose langchain over codespaces-langchain when Requirements: Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation; Tags unique to langchain: ai, anthropic, bumblebee, chatgpt; You are working on an Elixir project and want to integrate advanced Language Model capabilities. ### When should I choose codespaces-langchain over langchain? Choose codespaces-langchain over langchain when Requirements: API keys from OpenAI (and optionally SerpAPI) are necessary to operate this tool.; Tags unique to codespaces-langchain: codespaces, notebooks, openai-api; Also covers Developer Tools; This tool is ideal when working specifically with LangChain and wanting to leverage GitHub Codespaces for a seamless setup experience. ### 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 codespaces-langchain? Avoid this if your project requires customization beyond what's provided by default, as this template may not cover all specific needs without significant modification. They might be less suitable for users new to both LangChain and GitHub Codespaces, who need more detailed onboarding support than the repository README provides. ### Is langchain or codespaces-langchain more popular on GitHub? langchain has more GitHub stars (1,192 vs 113). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and codespaces-langchain open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to langchain or codespaces-langchain? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/brainlid-langchain/alternatives) and [codespaces-langchain alternatives](/tools/lostintangent-codespaces-langchain/alternatives) ([langchain markdown twin](/tools/brainlid-langchain/alternatives.md), [codespaces-langchain markdown twin](/tools/lostintangent-codespaces-langchain/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-lostintangent-codespaces-langchain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or codespaces-langchain? langchain: Very active. codespaces-langchain: Dormant. 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 codespaces-langchain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/brainlid-langchain/trust); [codespaces-langchain trust report](/tools/lostintangent-codespaces-langchain/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/_