---
title: "awesome vs langchain-hs"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/sindresorhus-awesome-vs-tusharad-langchain-hs"
tools: ["sindresorhus-awesome", "tusharad-langchain-hs"]
---

# awesome vs langchain-hs

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick awesome when license: awesome is CC0-1.0, langchain-hs is MIT; pick langchain-hs when license: langchain-hs is MIT, awesome is CC0-1.0.

[awesome](https://github.com/sindresorhus/awesome) reports 484k GitHub stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. [langchain-hs](https://tusharad.github.io/langchain-hs/) has 52 stars, 7 forks, and 2 open issues, last pushed Jun 28, 2026. Figures are from public GitHub metadata via [awesome's repository](https://github.com/sindresorhus/awesome) and [langchain-hs's repository](https://github.com/tusharad/langchain-hs).

| | [awesome](/tools/sindresorhus-awesome.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) |
| --- | --- | --- |
| Tagline | 😎 Curated list of awesome topics including hardware resources | Haskell implementation of LangChain |
| Stars | 484,026 | 52 |
| Forks | 35,799 | 7 |
| Open issues | 92 | 2 |
| Language | - | Haskell |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | CC0-1.0 | MIT |
| Categories | LLM Frameworks | LLM Frameworks |

## Trust and health

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

| | [awesome](/tools/sindresorhus-awesome.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) |
| --- | --- | --- |
| Days since push | 11d | 13d |
| Open issues (now) | 92 | 2 |
| Full report | [trust report](/tools/sindresorhus-awesome/trust.md) | [trust report](/tools/tusharad-langchain-hs/trust.md) |

## Choose when

### Choose awesome if…

- License: awesome is CC0-1.0, langchain-hs is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 52) - visibility, not fit.

### Choose langchain-hs if…

- License: langchain-hs is MIT, awesome is CC0-1.0.
- Tags unique to langchain-hs: haskell.
- Leaner open-issue backlog (2).

## When NOT to use awesome

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use langchain-hs

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between awesome and langchain-hs?

awesome: 😎 Curated list of awesome topics including hardware resources. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome over langchain-hs?

Choose awesome over langchain-hs when License: awesome is CC0-1.0, langchain-hs is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 52) - visibility, not fit.

### When should I choose langchain-hs over awesome?

Choose langchain-hs over awesome when License: langchain-hs is MIT, awesome is CC0-1.0; Tags unique to langchain-hs: haskell; Leaner open-issue backlog (2).

### When should I avoid awesome?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid langchain-hs?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is awesome or langchain-hs more popular on GitHub?

awesome has more GitHub stars (484,026 vs 52). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome and langchain-hs open source?

Yes - both are open-source projects on GitHub (awesome: CC0-1.0, langchain-hs: MIT).

### Where can I find alternatives to awesome or langchain-hs?

GraphCanon lists graph-backed alternatives at [awesome alternatives](/tools/sindresorhus-awesome/alternatives) and [langchain-hs alternatives](/tools/tusharad-langchain-hs/alternatives) ([awesome markdown twin](/tools/sindresorhus-awesome/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/sindresorhus-awesome-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, awesome or langchain-hs?

awesome: Active. langchain-hs: 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 awesome and langchain-hs?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome trust report](/tools/sindresorhus-awesome/trust); [langchain-hs trust report](/tools/tusharad-langchain-hs/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=sindresorhus-awesome`](/api/graphcanon/graph?tool=sindresorhus-awesome)
- 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/_