--- title: "awesome-prompts vs prompty" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai-boost-awesome-prompts-vs-microsoft-prompty" tools: ["ai-boost-awesome-prompts", "microsoft-prompty"] --- # awesome-prompts vs prompty *GraphCanon updated Jul 28, 2026* ## Verdict Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; pick prompty if prompty is specifically designed for managing and evaluating large language model prompts in TypeScript. [awesome-prompts](https://awesomegpt.vip) reports 8.4k GitHub stars, 798 forks, and 35 open issues, last pushed Jul 11, 2026. [prompty](https://prompty.ai) has 1.2k stars, 120 forks, and 27 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [awesome-prompts's repository](https://github.com/ai-boost/awesome-prompts) and [prompty's repository](https://github.com/microsoft/prompty). | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [prompty](/tools/microsoft-prompty.md) | | --- | --- | --- | | Tagline | Curated chatgpt prompts and advanced prompt engineering papers | Tool for managing LLM prompts | | Stars | 8,440 | 1,237 | | Forks | 798 | 120 | | Open issues | 35 | 27 | | Language | - | TypeScript | | Adopt for | awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. | Prompty is specifically designed for managing and evaluating large language model prompts in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | Developer Tools | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [prompty](/tools/microsoft-prompty.md) | | --- | --- | --- | | Open issues (now) | 35 | 27 | | Owner type | User | Organization | | Full report | [trust report](/tools/ai-boost-awesome-prompts/trust.md) | [trust report](/tools/microsoft-prompty/trust.md) | ## Decision facts: awesome-prompts - **Adopt for:** awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. ## Decision facts: prompty - **Adopt for:** Prompty is specifically designed for managing and evaluating large language model prompts in TypeScript. ## Choose when ### Choose awesome-prompts if… - License: awesome-prompts is GPL-3.0, prompty is MIT. - Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-engineering. - Need detailed prompt engineering resources ### Choose prompty if… - License: prompty is MIT, awesome-prompts is GPL-3.0. - Tags unique to prompty: generative-ai, llm frameworks, llm-evaluation, promptengineering. - Also covers Evaluation & Observability. - When working with LLM prompts in AI applications that require enhanced observability and debugging capabilities directly within TypeScript projects. ## When NOT to use awesome-prompts - Seeking a platform for generating new prompts rather than reviewing existing ones - In search of direct support tools or services, not just informational content - Requiring real-time collaboration on prompt creation and experimentation ## When NOT to use prompty - For developers not using TypeScript, consider alternative solutions more aligned with their programming language preferences. - When the primary need is for real-time collaboration on prompt creation, Prompty focuses more on individual management and evaluation rather than collaborative editing features. ## Common questions ### What is the difference between awesome-prompts and prompty? awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. prompty: Tool for managing LLM prompts. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-prompts over prompty? Choose awesome-prompts over prompty when License: awesome-prompts is GPL-3.0, prompty is MIT; Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-engineering; Need detailed prompt engineering resources. ### When should I choose prompty over awesome-prompts? Choose prompty over awesome-prompts when License: prompty is MIT, awesome-prompts is GPL-3.0; Tags unique to prompty: generative-ai, llm frameworks, llm-evaluation, promptengineering; Also covers Evaluation & Observability; When working with LLM prompts in AI applications that require enhanced observability and debugging capabilities directly within TypeScript projects. ### When should I avoid awesome-prompts? Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation ### When should I avoid prompty? For developers not using TypeScript, consider alternative solutions more aligned with their programming language preferences. When the primary need is for real-time collaboration on prompt creation, Prompty focuses more on individual management and evaluation rather than collaborative editing features. ### Is awesome-prompts or prompty more popular on GitHub? awesome-prompts has more GitHub stars (8,440 vs 1,237). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-prompts and prompty open source? Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, prompty: MIT). ### Where can I find alternatives to awesome-prompts or prompty? GraphCanon lists graph-backed alternatives at [awesome-prompts alternatives](/tools/ai-boost-awesome-prompts/alternatives) and [prompty alternatives](/tools/microsoft-prompty/alternatives) ([awesome-prompts markdown twin](/tools/ai-boost-awesome-prompts/alternatives.md), [prompty markdown twin](/tools/microsoft-prompty/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/ai-boost-awesome-prompts-vs-microsoft-prompty.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-prompts or prompty? awesome-prompts: Very active. prompty: 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 awesome-prompts and prompty? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-prompts trust report](/tools/ai-boost-awesome-prompts/trust); [prompty trust report](/tools/microsoft-prompty/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai-boost-awesome-prompts`](/api/graphcanon/graph?tool=ai-boost-awesome-prompts) - 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/_