--- title: "prompts.chat vs raptor" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-parthsarthi03-raptor" tools: ["f-prompts-chat", "parthsarthi03-raptor"] --- # prompts.chat vs raptor Neutral, constraint-first comparison with live GitHub stats. | | [prompts.chat](/tools/f-prompts-chat.md) | [raptor](/tools/parthsarthi03-raptor.md) | | --- | --- | --- | | Tagline | The world's largest open-source prompt library for AI | RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval | | Stars | 165,063 | 1,722 | | Forks | 21,363 | 230 | | Open issues | 59 | 45 | | Language | HTML | Python | | License | Other | MIT | | Categories | LLM Frameworks, Developer Tools | Model Training, AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [raptor](/tools/parthsarthi03-raptor.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 672d | | Archived on GitHub | No | No | | Stars delta | - | - | | Open issues delta | - | - | | Fork status | Not a fork | Not a fork | | Owner type | User | User | | Security scan | Not scanned | Not scanned | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/parthsarthi03-raptor/trust.md) | ## Choose when ### Choose prompts.chat if… - More widely adopted - 165k stars vs 1.7k. - More recently updated (last pushed Jul 8, 2026). - Also covers LLM Frameworks, Developer Tools. ### Choose raptor if… - Leaner open-issue backlog (45). - Also covers Model Training, AI Agents, Inference & Serving. ## When NOT to use prompts.chat - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use raptor - Last GitHub push was 673 days ago (dormant maintenance, Sep 3, 2024). Validate activity before betting a new project on raptor. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between prompts.chat and raptor? prompts.chat: The world's largest open-source prompt library for AI. raptor: RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over raptor? Choose prompts.chat over raptor when More widely adopted - 165k stars vs 1.7k; More recently updated (last pushed Jul 8, 2026); Also covers LLM Frameworks, Developer Tools. ### When should I choose raptor over prompts.chat? Choose raptor over prompts.chat when Leaner open-issue backlog (45); Also covers Model Training, AI Agents, Inference & Serving. ### When should I avoid prompts.chat? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid raptor? Last GitHub push was 673 days ago (dormant maintenance, Sep 3, 2024). Validate activity before betting a new project on raptor. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is prompts.chat or raptor more popular on GitHub? prompts.chat has more GitHub stars (165,063 vs 1,722). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and raptor open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, raptor: MIT). ### Where can I find alternatives to prompts.chat or raptor? GraphCanon lists graph-backed alternatives at /tools/f-prompts-chat/alternatives and /tools/parthsarthi03-raptor/alternatives (/tools/f-prompts-chat/alternatives.md, /tools/parthsarthi03-raptor/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 /compare/f-prompts-chat-vs-parthsarthi03-raptor.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or raptor? prompts.chat: Very active. raptor: Dormant. 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 prompts.chat and raptor? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prompts.chat: /tools/f-prompts-chat/trust; raptor: /tools/parthsarthi03-raptor/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_