--- title: "llm-strategy vs awesome-chatgpt-prompts-zh" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/blackhc-llm-strategy-vs-plexpt-awesome-chatgpt-prompts-zh" tools: ["blackhc-llm-strategy", "plexpt-awesome-chatgpt-prompts-zh"] --- # llm-strategy vs awesome-chatgpt-prompts-zh *GraphCanon updated Jul 12, 2026* ## Verdict Pick llm-strategy when tags unique to llm-strategy: llm, python, openai, langchain; pick awesome-chatgpt-prompts-zh when requirements: 此工具主要是关于如何使用ChatGPT进行中文场景下的各种任务，并不是一个独立的服务或框架，用户需要自行准备ChatGPT的访问和使用环境。. [llm-strategy](https://blackhc.github.io/llm-strategy/) reports 399 GitHub stars, 23 forks, and 5 open issues, last pushed Mar 3, 2025. [awesome-chatgpt-prompts-zh](https://chat.aimakex.com/) has 61k stars, 14k forks, and 46 open issues, last pushed Apr 28, 2026. Figures are from public GitHub metadata via [llm-strategy's repository](https://github.com/BlackHC/llm-strategy) and [awesome-chatgpt-prompts-zh's repository](https://github.com/PlexPt/awesome-chatgpt-prompts-zh). | | [llm-strategy](/tools/blackhc-llm-strategy.md) | [awesome-chatgpt-prompts-zh](/tools/plexpt-awesome-chatgpt-prompts-zh.md) | | --- | --- | --- | | Tagline | Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types | ChatGPT 中文调教指南 | | Stars | 399 | 60,907 | | Forks | 23 | 13,548 | | Open issues | 5 | 46 | | Language | Python | - | | Adopt for | - | awesome-chatgpt-prompts-zh 是一个针对 ChatGPT 的中文使用指南和提示集合，旨在帮助用户更好地利用这个语言模型完成多样的任务和场景。 | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks, Data & Retrieval | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm-strategy](/tools/blackhc-llm-strategy.md) | [awesome-chatgpt-prompts-zh](/tools/plexpt-awesome-chatgpt-prompts-zh.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 494d | 73d | | Open issues (now) | 5 | 46 | | Full report | [trust report](/tools/blackhc-llm-strategy/trust.md) | [trust report](/tools/plexpt-awesome-chatgpt-prompts-zh/trust.md) | ## Decision facts: awesome-chatgpt-prompts-zh - **Pricing:** unknown - **Requirements:** 此工具主要是关于如何使用ChatGPT进行中文场景下的各种任务，并不是一个独立的服务或框架，用户需要自行准备ChatGPT的访问和使用环境。 - **Adopt for:** awesome-chatgpt-prompts-zh 是一个针对 ChatGPT 的中文使用指南和提示集合，旨在帮助用户更好地利用这个语言模型完成多样的任务和场景。 ## Choose when ### Choose llm-strategy if… - Tags unique to llm-strategy: llm, python, openai, langchain. - Also covers Data & Retrieval. - llm-strategy ships Docker support for self-hosted deployment. ### Choose awesome-chatgpt-prompts-zh if… - Requirements: 此工具主要是关于如何使用ChatGPT进行中文场景下的各种任务，并不是一个独立的服务或框架，用户需要自行准备ChatGPT的访问和使用环境。. - Tags unique to awesome-chatgpt-prompts-zh: chat-gpt, chatgpt, chatgpt4, chatgpt3. - 当您需要指导如何优化您的中文输入以获得更好的回应时； ## When NOT to use llm-strategy - Last GitHub push was 495 days ago (dormant maintenance, Mar 3, 2025). Validate activity before betting a new project on llm-strategy. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use awesome-chatgpt-prompts-zh - 如果需要严格的本地法律法规专业知识指导，因为它可能缺乏针对具体国家和地区的深度定制化法律服务； - 对于实时性和高度专业化的技术问题解答需求较少优化，因为它主要为文本创作提供支持和技术性的输入提示指南。 ## Common questions ### What is the difference between llm-strategy and awesome-chatgpt-prompts-zh? llm-strategy: Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types. awesome-chatgpt-prompts-zh: ChatGPT 中文调教指南. See the comparison table for live GitHub stats and shared categories. ### When should I choose llm-strategy over awesome-chatgpt-prompts-zh? Choose llm-strategy over awesome-chatgpt-prompts-zh when Tags unique to llm-strategy: llm, python, openai, langchain; Also covers Data & Retrieval; llm-strategy ships Docker support for self-hosted deployment. ### When should I choose awesome-chatgpt-prompts-zh over llm-strategy? Choose awesome-chatgpt-prompts-zh over llm-strategy when Requirements: 此工具主要是关于如何使用ChatGPT进行中文场景下的各种任务，并不是一个独立的服务或框架，用户需要自行准备ChatGPT的访问和使用环境。; Tags unique to awesome-chatgpt-prompts-zh: chat-gpt, chatgpt, chatgpt4, chatgpt3; 当您需要指导如何优化您的中文输入以获得更好的回应时；. ### When should I avoid llm-strategy? Last GitHub push was 495 days ago (dormant maintenance, Mar 3, 2025). Validate activity before betting a new project on llm-strategy. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### When should I avoid awesome-chatgpt-prompts-zh? 如果需要严格的本地法律法规专业知识指导，因为它可能缺乏针对具体国家和地区的深度定制化法律服务； 对于实时性和高度专业化的技术问题解答需求较少优化，因为它主要为文本创作提供支持和技术性的输入提示指南。 ### Is llm-strategy or awesome-chatgpt-prompts-zh more popular on GitHub? awesome-chatgpt-prompts-zh has more GitHub stars (60,907 vs 399). Stars measure visibility, not whether either tool fits your constraints. ### Are llm-strategy and awesome-chatgpt-prompts-zh open source? Yes - both are open-source projects on GitHub (llm-strategy: MIT, awesome-chatgpt-prompts-zh: MIT). ### Where can I find alternatives to llm-strategy or awesome-chatgpt-prompts-zh? GraphCanon lists graph-backed alternatives at [llm-strategy alternatives](/tools/blackhc-llm-strategy/alternatives) and [awesome-chatgpt-prompts-zh alternatives](/tools/plexpt-awesome-chatgpt-prompts-zh/alternatives) ([llm-strategy markdown twin](/tools/blackhc-llm-strategy/alternatives.md), [awesome-chatgpt-prompts-zh markdown twin](/tools/plexpt-awesome-chatgpt-prompts-zh/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/blackhc-llm-strategy-vs-plexpt-awesome-chatgpt-prompts-zh.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llm-strategy or awesome-chatgpt-prompts-zh? llm-strategy: Dormant. awesome-chatgpt-prompts-zh: Steady. 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 llm-strategy and awesome-chatgpt-prompts-zh? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-strategy trust report](/tools/blackhc-llm-strategy/trust); [awesome-chatgpt-prompts-zh trust report](/tools/plexpt-awesome-chatgpt-prompts-zh/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=blackhc-llm-strategy`](/api/graphcanon/graph?tool=blackhc-llm-strategy) - 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/_