--- title: "langchain-gradio-template vs langchain-hs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hwchase17-langchain-gradio-template-vs-tusharad-langchain-hs" tools: ["hwchase17-langchain-gradio-template", "tusharad-langchain-hs"] --- # langchain-gradio-template vs langchain-hs *GraphCanon updated Aug 15, 2026* ## Verdict Pick langchain-gradio-template if this is specifically crafted for developers seeking an efficient way to deploy LangChain applications on Gradio and easily share them via Hugging Face Spaces; pick langchain-hs if langChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. [langchain-gradio-template](https://github.com/hwchase17/langchain-gradio-template) reports 138 GitHub stars, 30 forks, and 2 open issues, last pushed Jan 19, 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 [langchain-gradio-template's repository](https://github.com/hwchase17/langchain-gradio-template) and [langchain-hs's repository](https://github.com/tusharad/langchain-hs). | | [langchain-gradio-template](/tools/hwchase17-langchain-gradio-template.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Tagline | Template for deploying LangChain on Gradio | Haskell implementation of LangChain | | Stars | 138 | 52 | | Forks | 30 | 7 | | Open issues | 2 | 4 | | Language | Python | Haskell | | Adopt for | This is specifically crafted for developers seeking an efficient way to deploy LangChain applications on Gradio and easily share them via Hugging Face Spaces. | LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. | | Persona | - | - | | Runtime | - | - | | License | License information is not provided explicitly in the repository. | MIT | | Categories | Developer Tools, Inference & Serving | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain-gradio-template](/tools/hwchase17-langchain-gradio-template.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1303d | 0d | | Open issues (now) | 2 | 4 | | Stars delta | +1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/hwchase17-langchain-gradio-template/trust.md) | [trust report](/tools/tusharad-langchain-hs/trust.md) | ## Shared compatibility - **LangChain**: [langchain-gradio-template](/tools/hwchase17-langchain-gradio-template.md) - LangChain integration; [langchain-hs](/tools/tusharad-langchain-hs.md) - LangChain integration ## Decision facts: langchain-gradio-template - **Pricing:** unknown - Pricing details are undefined as no license detail is apparent. - **Adopt for:** This is specifically crafted for developers seeking an efficient way to deploy LangChain applications on Gradio and easily share them via Hugging Face Spaces. - **License detail:** License information is not provided explicitly in the repository. ## 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-gradio-template if… - langchain-gradio-template is primarily Python; langchain-hs is Haskell. - Pricing: Pricing details are undefined as no license detail is apparent.. - Tags unique to langchain-gradio-template: gradio, hugging face spaces, python. - Also covers Inference & Serving. - When you are looking for a specific template that simplifies the deployment of LangChain chatbots onto Gradio interfaces. ### Choose langchain-hs if… - langchain-hs is primarily Haskell; langchain-gradio-template is Python. - 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 langchain-gradio-template - If you require more customization options for your application that goes beyond what the template `app.py` supports or offers. - When aiming for a platform other than Hugging Face Spaces to deploy and share your LangChain applications, as this tool is tightly integrated with Gradio’s deployment on Hugging Face. ## 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-gradio-template and langchain-hs? langchain-gradio-template: Template for deploying LangChain on Gradio. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain-gradio-template over langchain-hs? Choose langchain-gradio-template over langchain-hs when langchain-gradio-template is primarily Python; langchain-hs is Haskell; Pricing: Pricing details are undefined as no license detail is apparent.; Tags unique to langchain-gradio-template: gradio, hugging face spaces, python; Also covers Inference & Serving; When you are looking for a specific template that simplifies the deployment of LangChain chatbots onto Gradio interfaces. ### When should I choose langchain-hs over langchain-gradio-template? Choose langchain-hs over langchain-gradio-template when langchain-hs is primarily Haskell; langchain-gradio-template is Python; 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 langchain-gradio-template? If you require more customization options for your application that goes beyond what the template `app.py` supports or offers. When aiming for a platform other than Hugging Face Spaces to deploy and share your LangChain applications, as this tool is tightly integrated with Gradio’s deployment on Hugging Face. ### 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-gradio-template or langchain-hs more popular on GitHub? langchain-gradio-template has more GitHub stars (138 vs 52). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-gradio-template and langchain-hs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to langchain-gradio-template or langchain-hs? GraphCanon lists graph-backed alternatives at [langchain-gradio-template alternatives](/tools/hwchase17-langchain-gradio-template/alternatives) and [langchain-hs alternatives](/tools/tusharad-langchain-hs/alternatives) ([langchain-gradio-template markdown twin](/tools/hwchase17-langchain-gradio-template/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/hwchase17-langchain-gradio-template-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-gradio-template or langchain-hs? langchain-gradio-template: 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-gradio-template and langchain-hs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-gradio-template trust report](/tools/hwchase17-langchain-gradio-template/trust); [langchain-hs trust report](/tools/tusharad-langchain-hs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hwchase17-langchain-gradio-template`](/api/graphcanon/graph?tool=hwchase17-langchain-gradio-template) - 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/_