---
title: "LangChain.js-LLM-Template vs langchain-hs"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ironcladdev-langchain-js-llm-template-vs-tusharad-langchain-hs"
tools: ["ironcladdev-langchain-js-llm-template", "tusharad-langchain-hs"]
---

# LangChain.js-LLM-Template vs langchain-hs

*GraphCanon updated Aug 15, 2026*

## Verdict

Pick LangChain.js-LLM-Template if langChain.js-LLM-Template is a JavaScript-based tool for training custom AI language models that stands out with its straightforward setup and vector store utilization; pick langchain-hs if langChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development.

[LangChain.js-LLM-Template](https://github.com/IroncladDev/LangChain.js-LLM-Template) reports 330 GitHub stars, 49 forks, and 2 open issues, last pushed Apr 1, 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.js-LLM-Template's repository](https://github.com/IroncladDev/LangChain.js-LLM-Template) and [langchain-hs's repository](https://github.com/tusharad/langchain-hs).

| | [LangChain.js-LLM-Template](/tools/ironcladdev-langchain-js-llm-template.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) |
| --- | --- | --- |
| Tagline | LangChain LLM template to train custom AI models | Haskell implementation of LangChain |
| Stars | 330 | 52 |
| Forks | 49 | 7 |
| Open issues | 2 | 4 |
| Language | JavaScript | Haskell |
| Adopt for | LangChain.js-LLM-Template is a JavaScript-based tool for training custom AI language models that stands out with its straightforward setup and vector store utilization. | LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | Model Training | Developer Tools, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [LangChain.js-LLM-Template](/tools/ironcladdev-langchain-js-llm-template.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) |
| --- | --- | --- |
| Maintenance | Archived (8%) | Very active (96%) |
| Days since push | 1231d | 0d |
| Archived on GitHub | Yes | No |
| Open issues (now) | 2 | 4 |
| Stars delta | -1 (30d) | Unknown |
| Open issues delta | -1 (30d) | Unknown |
| Full report | [trust report](/tools/ironcladdev-langchain-js-llm-template/trust.md) | [trust report](/tools/tusharad-langchain-hs/trust.md) |

## Shared compatibility

- **LangChain**: [LangChain.js-LLM-Template](/tools/ironcladdev-langchain-js-llm-template.md) - LangChain integration; [langchain-hs](/tools/tusharad-langchain-hs.md) - LangChain integration

## Decision facts: LangChain.js-LLM-Template

- **Requirements:** Requires OpenAI API access for LLM training purposes via an API key.; Setup requires running yarn or npm commands for installation and training processes.
- **Adopt for:** LangChain.js-LLM-Template is a JavaScript-based tool for training custom AI language models that stands out with its straightforward setup and vector store utilization.

## 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.js-LLM-Template if…

- LangChain.js-LLM-Template is primarily JavaScript; langchain-hs is Haskell.
- Requirements: Requires OpenAI API access for LLM training purposes via an API key.; Setup requires running yarn or npm commands for installation and training processes..
- Tags unique to LangChain.js-LLM-Template: custom ai models, javascript, llm template.
- When you prefer using JavaScript to develop your model training pipeline.

### Choose langchain-hs if…

- langchain-hs is primarily Haskell; LangChain.js-LLM-Template is JavaScript.
- Tags unique to langchain-hs: ai development library, functional programming, haskell, langchain.
- Also covers Developer Tools.
- You require a robust AI functionality with a preference or need for functional programming approaches

## When NOT to use LangChain.js-LLM-Template

- If you require a platform that supports multiple languages beyond JavaScript for flexibility.
- In cases where complex preprocessing of train data cannot be easily managed through markdown files.
- When dealing with very sensitive data and needing to keep API key management out-of-band, as the README suggests using environment variables.

## 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.js-LLM-Template and langchain-hs?

LangChain.js-LLM-Template: LangChain LLM template to train custom AI models. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories.

### When should I choose LangChain.js-LLM-Template over langchain-hs?

Choose LangChain.js-LLM-Template over langchain-hs when LangChain.js-LLM-Template is primarily JavaScript; langchain-hs is Haskell; Requirements: Requires OpenAI API access for LLM training purposes via an API key.; Setup requires running yarn or npm commands for installation and training processes.; Tags unique to LangChain.js-LLM-Template: custom ai models, javascript, llm template; When you prefer using JavaScript to develop your model training pipeline.

### When should I choose langchain-hs over LangChain.js-LLM-Template?

Choose langchain-hs over LangChain.js-LLM-Template when langchain-hs is primarily Haskell; LangChain.js-LLM-Template is JavaScript; Tags unique to langchain-hs: ai development library, functional programming, haskell, langchain; Also covers Developer Tools; You require a robust AI functionality with a preference or need for functional programming approaches.

### When should I avoid LangChain.js-LLM-Template?

If you require a platform that supports multiple languages beyond JavaScript for flexibility. In cases where complex preprocessing of train data cannot be easily managed through markdown files. When dealing with very sensitive data and needing to keep API key management out-of-band, as the README suggests using environment variables.

### 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.js-LLM-Template or langchain-hs more popular on GitHub?

LangChain.js-LLM-Template has more GitHub stars (330 vs 52). Stars measure visibility, not whether either tool fits your constraints.

### Are LangChain.js-LLM-Template and langchain-hs open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to LangChain.js-LLM-Template or langchain-hs?

GraphCanon lists graph-backed alternatives at [LangChain.js-LLM-Template alternatives](/tools/ironcladdev-langchain-js-llm-template/alternatives) and [langchain-hs alternatives](/tools/tusharad-langchain-hs/alternatives) ([LangChain.js-LLM-Template markdown twin](/tools/ironcladdev-langchain-js-llm-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/ironcladdev-langchain-js-llm-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.js-LLM-Template or langchain-hs?

LangChain.js-LLM-Template: Archived. 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.js-LLM-Template and langchain-hs?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LangChain.js-LLM-Template trust report](/tools/ironcladdev-langchain-js-llm-template/trust); [langchain-hs trust report](/tools/tusharad-langchain-hs/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ironcladdev-langchain-js-llm-template`](/api/graphcanon/graph?tool=ironcladdev-langchain-js-llm-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/_