--- title: "codespaces-langchain vs langchain-hs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lostintangent-codespaces-langchain-vs-tusharad-langchain-hs" tools: ["lostintangent-codespaces-langchain", "tusharad-langchain-hs"] --- # codespaces-langchain vs langchain-hs *GraphCanon updated Aug 15, 2026* ## Verdict Pick codespaces-langchain if codespaces-langchain is tailored for streamlined integration of LangChain within the GitHub Codespaces environment; pick langchain-hs if langChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. [codespaces-langchain](https://github.com/lostintangent/codespaces-langchain) reports 113 GitHub stars, 22 forks, and 5 open issues, last pushed Mar 22, 2023. [langchain-hs](https://tusharad.github.io/langchain-hs/) has 52 stars, 7 forks, and 4 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [codespaces-langchain's repository](https://github.com/lostintangent/codespaces-langchain) and [langchain-hs's repository](https://github.com/tusharad/langchain-hs). | | [codespaces-langchain](/tools/lostintangent-codespaces-langchain.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Tagline | A Codespaces template for getting up-and-running with LangChain in seconds | Haskell implementation of LangChain | | Stars | 113 | 52 | | Forks | 22 | 7 | | Open issues | 5 | 4 | | Language | - | Haskell | | Adopt for | codespaces-langchain is tailored for streamlined integration of LangChain within the GitHub Codespaces environment. | LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codespaces-langchain](/tools/lostintangent-codespaces-langchain.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1241d | 0d | | Open issues (now) | 5 | 4 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/lostintangent-codespaces-langchain/trust.md) | [trust report](/tools/tusharad-langchain-hs/trust.md) | ## Shared compatibility - **LangChain**: [codespaces-langchain](/tools/lostintangent-codespaces-langchain.md) - LangChain integration; [langchain-hs](/tools/tusharad-langchain-hs.md) - LangChain integration ## 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. ## Decision facts: langchain-hs - **Adopt for:** LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. ## Choose when ### Choose codespaces-langchain if… - Requirements: API keys from OpenAI (and optionally SerpAPI) are necessary to operate this tool.. - Tags unique to codespaces-langchain: codespaces, llm, notebooks, openai-api. - Also covers LLM Frameworks. - This tool is ideal when working specifically with LangChain and wanting to leverage GitHub Codespaces for a seamless setup experience. ### Choose langchain-hs if… - Tags unique to langchain-hs: ai development library, functional programming, haskell. - Also covers Model Training. - You require a robust AI functionality with a preference or need for functional programming approaches ## 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. ## When NOT to use langchain-hs - When your team lacks experience with functional programming as Haskell requires a different mindset compared to imperative languages. - If performance optimization is the top priority, given that Haskell might not match the speed of languages like Python in all scenarios. ## Common questions ### What is the difference between codespaces-langchain and langchain-hs? codespaces-langchain: A Codespaces template for getting up-and-running with LangChain in seconds. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories. ### When should I choose codespaces-langchain over langchain-hs? Choose codespaces-langchain over langchain-hs when Requirements: API keys from OpenAI (and optionally SerpAPI) are necessary to operate this tool.; Tags unique to codespaces-langchain: codespaces, llm, notebooks, openai-api; Also covers LLM Frameworks; This tool is ideal when working specifically with LangChain and wanting to leverage GitHub Codespaces for a seamless setup experience. ### When should I choose langchain-hs over codespaces-langchain? Choose langchain-hs over codespaces-langchain when Tags unique to langchain-hs: ai development library, functional programming, haskell; Also covers Model Training; You require a robust AI functionality with a preference or need for functional programming approaches. ### 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. ### When should I avoid langchain-hs? When your team lacks experience with functional programming as Haskell requires a different mindset compared to imperative languages. If performance optimization is the top priority, given that Haskell might not match the speed of languages like Python in all scenarios. ### Is codespaces-langchain or langchain-hs more popular on GitHub? codespaces-langchain has more GitHub stars (113 vs 52). Stars measure visibility, not whether either tool fits your constraints. ### Are codespaces-langchain and langchain-hs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to codespaces-langchain or langchain-hs? GraphCanon lists graph-backed alternatives at [codespaces-langchain alternatives](/tools/lostintangent-codespaces-langchain/alternatives) and [langchain-hs alternatives](/tools/tusharad-langchain-hs/alternatives) ([codespaces-langchain markdown twin](/tools/lostintangent-codespaces-langchain/alternatives.md), [langchain-hs markdown twin](/tools/tusharad-langchain-hs/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/lostintangent-codespaces-langchain-vs-tusharad-langchain-hs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, codespaces-langchain or langchain-hs? codespaces-langchain: Dormant. langchain-hs: 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 codespaces-langchain and langchain-hs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [codespaces-langchain trust report](/tools/lostintangent-codespaces-langchain/trust); [langchain-hs trust report](/tools/tusharad-langchain-hs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lostintangent-codespaces-langchain`](/api/graphcanon/graph?tool=lostintangent-codespaces-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/_