--- title: "langchain-decorators vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ju-bezdek-langchain-decorators-vs-sindresorhus-awesome" tools: ["ju-bezdek-langchain-decorators", "sindresorhus-awesome"] --- # langchain-decorators vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick langchain-decorators when license: langchain-decorators is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, langchain-decorators is MIT. [langchain-decorators](https://github.com/ju-bezdek/langchain-decorators) reports 234 GitHub stars, 12 forks, and 6 open issues, last pushed Apr 18, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [langchain-decorators's repository](https://github.com/ju-bezdek/langchain-decorators) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [langchain-decorators](/tools/ju-bezdek-langchain-decorators.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | syntactic sugar 🍭 for langchain | 😎 Curated list of awesome topics including hardware resources | | Stars | 234 | 484,026 | | Forks | 12 | 35,799 | | Open issues | 6 | 92 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain-decorators](/tools/ju-bezdek-langchain-decorators.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 84d | 11d | | Open issues (now) | 6 | 92 | | Security scan | 64 low (64 low) | No lockfile | | Full report | [trust report](/tools/ju-bezdek-langchain-decorators/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose langchain-decorators if… - License: langchain-decorators is MIT, awesome is CC0-1.0. - Tags unique to langchain-decorators: llm, python, langchain, prompt-engineering. - Leaner open-issue backlog (6). ### Choose awesome if… - License: awesome is CC0-1.0, langchain-decorators is MIT. - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 234) - visibility, not fit. ## When NOT to use langchain-decorators - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between langchain-decorators and awesome? langchain-decorators: syntactic sugar 🍭 for langchain. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain-decorators over awesome? Choose langchain-decorators over awesome when License: langchain-decorators is MIT, awesome is CC0-1.0; Tags unique to langchain-decorators: llm, python, langchain, prompt-engineering; Leaner open-issue backlog (6). ### When should I choose awesome over langchain-decorators? Choose awesome over langchain-decorators when License: awesome is CC0-1.0, langchain-decorators is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 234) - visibility, not fit. ### When should I avoid langchain-decorators? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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. ### Is langchain-decorators or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 234). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-decorators and awesome open source? Yes - both are open-source projects on GitHub (langchain-decorators: MIT, awesome: CC0-1.0). ### Where can I find alternatives to langchain-decorators or awesome? GraphCanon lists graph-backed alternatives at [langchain-decorators alternatives](/tools/ju-bezdek-langchain-decorators/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([langchain-decorators markdown twin](/tools/ju-bezdek-langchain-decorators/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/ju-bezdek-langchain-decorators-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain-decorators or awesome? langchain-decorators: Steady. awesome: 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-decorators and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-decorators trust report](/tools/ju-bezdek-langchain-decorators/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ju-bezdek-langchain-decorators`](/api/graphcanon/graph?tool=ju-bezdek-langchain-decorators) - 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/_