--- title: "langchain-tutorials vs langchain-hs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gkamradt-langchain-tutorials-vs-tusharad-langchain-hs" tools: ["gkamradt-langchain-tutorials", "tusharad-langchain-hs"] --- # langchain-tutorials vs langchain-hs *GraphCanon updated Aug 15, 2026* ## Verdict Pick langchain-tutorials if langchain-tutorials offers educational material to aid in understanding and applying the LangChain library via Jupyter Notebooks; pick langchain-hs if langChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. [langchain-tutorials](https://github.com/gkamradt/langchain-tutorials) reports 7.5k GitHub stars, 2.0k forks, and 15 open issues, last pushed Aug 5, 2024. [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 [langchain-tutorials's repository](https://github.com/gkamradt/langchain-tutorials) and [langchain-hs's repository](https://github.com/tusharad/langchain-hs). | | [langchain-tutorials](/tools/gkamradt-langchain-tutorials.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Tagline | Overview and tutorial of the LangChain Library | Haskell implementation of LangChain | | Stars | 7,480 | 52 | | Forks | 2,013 | 7 | | Open issues | 15 | 4 | | Language | Jupyter Notebook | Haskell | | Adopt for | langchain-tutorials offers educational material to aid in understanding and applying the LangChain library via Jupyter Notebooks. | LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. | | Persona | - | - | | Runtime | - | - | | License | The license details for this tool are unknown. | MIT | | Categories | Developer Tools, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain-tutorials](/tools/gkamradt-langchain-tutorials.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 740d | 0d | | Open issues (now) | 15 | 4 | | Stars delta | +10 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/gkamradt-langchain-tutorials/trust.md) | [trust report](/tools/tusharad-langchain-hs/trust.md) | ## Shared compatibility - **LangChain**: [langchain-tutorials](/tools/gkamradt-langchain-tutorials.md) - LangChain integration; [langchain-hs](/tools/tusharad-langchain-hs.md) - LangChain integration ## Decision facts: langchain-tutorials - **Pricing:** freemium - The repository is freely accessible with no stated fees; however, specific services or advanced features (if any) may require payment and aren't detailed in the provided data. - **Adopt for:** langchain-tutorials offers educational material to aid in understanding and applying the LangChain library via Jupyter Notebooks. - **License detail:** The license details for this tool are unknown. ## Decision facts: langchain-hs - **Adopt for:** LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. ## Choose when ### Choose langchain-tutorials if… - langchain-tutorials is primarily Jupyter Notebook; langchain-hs is Haskell. - Pricing: The repository is freely accessible with no stated fees; however, specific services or advanced features (if any) may require payment and aren't detailed in the provided data.. - Tags unique to langchain-tutorials: jupyter-notebook, prompt-engineering, tutorials. - - When you're interested in hands-on learning through Jupyter Notebooks and want a structured approach to mastering LangChain with guided examples. ### Choose langchain-hs if… - langchain-hs is primarily Haskell; langchain-tutorials is Jupyter Notebook. - Tags unique to langchain-hs: ai development library, functional programming, haskell. - You require a robust AI functionality with a preference or need for functional programming approaches ## When NOT to use langchain-tutorials - - When you prefer video tutorials or written articles over interactive notebooks; although the repository links to supplementary videos and online resources, its primary medium is Jupyter Notebooks. - - If your goal is immediate application without foundational knowledge, since langchain-tutorials emphasizes a learning path from basics up, which may add time before practical applications. ## 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 langchain-tutorials and langchain-hs? langchain-tutorials: Overview and tutorial of the LangChain Library. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain-tutorials over langchain-hs? Choose langchain-tutorials over langchain-hs when langchain-tutorials is primarily Jupyter Notebook; langchain-hs is Haskell; Pricing: The repository is freely accessible with no stated fees; however, specific services or advanced features (if any) may require payment and aren't detailed in the provided data.; Tags unique to langchain-tutorials: jupyter-notebook, prompt-engineering, tutorials; - When you're interested in hands-on learning through Jupyter Notebooks and want a structured approach to mastering LangChain with guided examples. ### When should I choose langchain-hs over langchain-tutorials? Choose langchain-hs over langchain-tutorials when langchain-hs is primarily Haskell; langchain-tutorials is Jupyter Notebook; Tags unique to langchain-hs: ai development library, functional programming, haskell; You require a robust AI functionality with a preference or need for functional programming approaches. ### When should I avoid langchain-tutorials? - When you prefer video tutorials or written articles over interactive notebooks; although the repository links to supplementary videos and online resources, its primary medium is Jupyter Notebooks. - If your goal is immediate application without foundational knowledge, since langchain-tutorials emphasizes a learning path from basics up, which may add time before practical applications. ### 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 langchain-tutorials or langchain-hs more popular on GitHub? langchain-tutorials has more GitHub stars (7,480 vs 52). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-tutorials and langchain-hs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to langchain-tutorials or langchain-hs? GraphCanon lists graph-backed alternatives at [langchain-tutorials alternatives](/tools/gkamradt-langchain-tutorials/alternatives) and [langchain-hs alternatives](/tools/tusharad-langchain-hs/alternatives) ([langchain-tutorials markdown twin](/tools/gkamradt-langchain-tutorials/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/gkamradt-langchain-tutorials-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, langchain-tutorials or langchain-hs? langchain-tutorials: 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 langchain-tutorials and langchain-hs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-tutorials trust report](/tools/gkamradt-langchain-tutorials/trust); [langchain-hs trust report](/tools/tusharad-langchain-hs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gkamradt-langchain-tutorials`](/api/graphcanon/graph?tool=gkamradt-langchain-tutorials) - 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/_