--- title: "promptsite vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dkuang1980-promptsite-vs-sindresorhus-awesome" tools: ["dkuang1980-promptsite", "sindresorhus-awesome"] --- # promptsite vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick promptsite when license: promptsite is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, promptsite is Apache-2.0. [promptsite](https://github.com/dkuang1980/promptsite) reports 46 GitHub stars, 4 forks, and 2 open issues, last pushed Feb 3, 2025. [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 [promptsite's repository](https://github.com/dkuang1980/promptsite) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [promptsite](/tools/dkuang1980-promptsite.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | PromptSite is a lightweight prompt version management package that helps you version control, track, experiment and debug with your LLM prompts with ease. | 😎 Awesome lists about all kinds of interesting topics | | Stars | 46 | 484,026 | | Forks | 4 | 35,799 | | Open issues | 2 | 92 | | Language | Python | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsite](/tools/dkuang1980-promptsite.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 523d | 11d | | Open issues (now) | 2 | 92 | | Security scan | 35 low (35 low) | No lockfile | | Full report | [trust report](/tools/dkuang1980-promptsite/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose promptsite if… - License: promptsite is Apache-2.0, awesome is CC0-1.0. - Tags unique to promptsite: python. - Also covers LLM Frameworks. ### Choose awesome if… - License: awesome is CC0-1.0, promptsite is Apache-2.0. - Tags unique to awesome: awesome, awesome-list, lists, resources. - Also covers Developer Tools. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use promptsite - Last GitHub push was 523 days ago (dormant maintenance, Feb 3, 2025). Validate activity before betting a new project on promptsite. - 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 - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between promptsite and awesome? promptsite: PromptSite is a lightweight prompt version management package that helps you version control, track, experiment and debug with your LLM prompts with ease.. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptsite over awesome? Choose promptsite over awesome when License: promptsite is Apache-2.0, awesome is CC0-1.0; Tags unique to promptsite: python; Also covers LLM Frameworks. ### When should I choose awesome over promptsite? Choose awesome over promptsite when License: awesome is CC0-1.0, promptsite is Apache-2.0; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid promptsite? Last GitHub push was 523 days ago (dormant maintenance, Feb 3, 2025). Validate activity before betting a new project on promptsite. 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? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is promptsite or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 46). Stars measure visibility, not whether either tool fits your constraints. ### Are promptsite and awesome open source? Yes - both are open-source projects on GitHub (promptsite: Apache-2.0, awesome: CC0-1.0). ### Where can I find alternatives to promptsite or awesome? GraphCanon lists graph-backed alternatives at [promptsite alternatives](/tools/dkuang1980-promptsite/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([promptsite markdown twin](/tools/dkuang1980-promptsite/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/dkuang1980-promptsite-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptsite or awesome? promptsite: Dormant. 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 promptsite and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsite trust report](/tools/dkuang1980-promptsite/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dkuang1980-promptsite`](/api/graphcanon/graph?tool=dkuang1980-promptsite) - 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/_