--- title: "prompts.chat vs Curator" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-nvidia-nemo-curator" tools: ["f-prompts-chat", "nvidia-nemo-curator"] --- # prompts.chat vs Curator *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; Curator is Python; pick Curator when curator is primarily Python; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [Curator](https://github.com/NVIDIA-NeMo/Curator) has 1.7k stars, 298 forks, and 279 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [Curator's repository](https://github.com/NVIDIA-NeMo/Curator). | | [prompts.chat](/tools/f-prompts-chat.md) | [Curator](/tools/nvidia-nemo-curator.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | Scalable data pre processing and curation toolkit for LLMs | | Stars | 165,372 | 1,656 | | Forks | 21,400 | 298 | | Open issues | 60 | 279 | | Language | HTML | Python | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Data & Retrieval, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [Curator](/tools/nvidia-nemo-curator.md) | | --- | --- | --- | | Open issues (now) | 60 | 279 | | Owner type | User | Organization | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/nvidia-nemo-curator/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; Curator is Python. - License: prompts.chat is Other, Curator is Apache-2.0. - Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt. - Critical decision points for evaluating `prompts.chat` ### Choose Curator if… - Curator is primarily Python; prompts.chat is HTML. - License: Curator is Apache-2.0, prompts.chat is Other. - Tags unique to Curator: data, data-curation, data-prep, data-preparation. - Also covers Data & Retrieval. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use Curator - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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 prompts.chat and Curator? prompts.chat: Share, discover, and collect prompts from the community. Curator: Scalable data pre processing and curation toolkit for LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over Curator? Choose prompts.chat over Curator when prompts.chat is primarily HTML; Curator is Python; License: prompts.chat is Other, Curator is Apache-2.0; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; Critical decision points for evaluating `prompts.chat`. ### When should I choose Curator over prompts.chat? Choose Curator over prompts.chat when Curator is primarily Python; prompts.chat is HTML; License: Curator is Apache-2.0, prompts.chat is Other; Tags unique to Curator: data, data-curation, data-prep, data-preparation; Also covers Data & Retrieval. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid Curator? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is prompts.chat or Curator more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 1,656). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and Curator open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, Curator: Apache-2.0). ### Where can I find alternatives to prompts.chat or Curator? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [Curator alternatives](/tools/nvidia-nemo-curator/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [Curator markdown twin](/tools/nvidia-nemo-curator/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/f-prompts-chat-vs-nvidia-nemo-curator.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or Curator? prompts.chat: Very active. Curator: 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 prompts.chat and Curator? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [Curator trust report](/tools/nvidia-nemo-curator/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/_