--- title: "awesome-chatgpt vs Awesome-Prompt-Engineering" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanloop-awesome-chatgpt-vs-promptslab-awesome-prompt-engineering" tools: ["humanloop-awesome-chatgpt", "promptslab-awesome-prompt-engineering"] --- # awesome-chatgpt vs Awesome-Prompt-Engineering *GraphCanon updated Aug 6, 2026* ## Verdict Pick awesome-chatgpt if awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions; pick Awesome-Prompt-Engineering if awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. [awesome-chatgpt](https://github.com/humanloop/awesome-chatgpt) reports 8.2k GitHub stars, 556 forks, and 142 open issues, last pushed Oct 15, 2025. [Awesome-Prompt-Engineering](https://discord.gg/m88xfYMbK6) has 6.2k stars, 734 forks, and 94 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [awesome-chatgpt's repository](https://github.com/humanloop/awesome-chatgpt) and [Awesome-Prompt-Engineering's repository](https://github.com/promptslab/Awesome-Prompt-Engineering). | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | | --- | --- | --- | | Tagline | Curated list of resources for ChatGPT and GPT-3 from OpenAI | Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers | | Stars | 8,207 | 6,197 | | Forks | 556 | 734 | | Open issues | 142 | 94 | | Language | - | TypeScript | | Adopt for | Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions | Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 294d | 0d | | Open issues (now) | 142 | 94 | | Full report | [trust report](/tools/humanloop-awesome-chatgpt/trust.md) | [trust report](/tools/promptslab-awesome-prompt-engineering/trust.md) | ## Shared compatibility - **Python**: [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) - Python runtime; [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) - Python runtime ## Decision facts: awesome-chatgpt - **Adopt for:** Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions ## Decision facts: Awesome-Prompt-Engineering - **Adopt for:** Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. ## Choose when ### Choose awesome-chatgpt if… - Tags unique to awesome-chatgpt: chrome-extension, cross-platform-access, gpt-3, unofficial-api. - Also covers Inference & Serving. - You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### Choose Awesome-Prompt-Engineering if… - Tags unique to Awesome-Prompt-Engineering: deep-learning, few-shot-learning, gpt, machine-learning. - Also covers Model Training. - You need focused materials on GPT and related models for prompt engineering ## When NOT to use awesome-chatgpt - If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. - You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ## When NOT to use Awesome-Prompt-Engineering - The project requires languages other than TypeScript - Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ## Common questions ### What is the difference between awesome-chatgpt and Awesome-Prompt-Engineering? awesome-chatgpt: Curated list of resources for ChatGPT and GPT-3 from OpenAI. Awesome-Prompt-Engineering: Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-chatgpt over Awesome-Prompt-Engineering? Choose awesome-chatgpt over Awesome-Prompt-Engineering when Tags unique to awesome-chatgpt: chrome-extension, cross-platform-access, gpt-3, unofficial-api; Also covers Inference & Serving; You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### When should I choose Awesome-Prompt-Engineering over awesome-chatgpt? Choose Awesome-Prompt-Engineering over awesome-chatgpt when Tags unique to Awesome-Prompt-Engineering: deep-learning, few-shot-learning, gpt, machine-learning; Also covers Model Training; You need focused materials on GPT and related models for prompt engineering. ### When should I avoid awesome-chatgpt? If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ### When should I avoid Awesome-Prompt-Engineering? The project requires languages other than TypeScript Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ### Is awesome-chatgpt or Awesome-Prompt-Engineering more popular on GitHub? awesome-chatgpt has more GitHub stars (8,207 vs 6,197). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-chatgpt and Awesome-Prompt-Engineering open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-chatgpt or Awesome-Prompt-Engineering? GraphCanon lists graph-backed alternatives at [awesome-chatgpt alternatives](/tools/humanloop-awesome-chatgpt/alternatives) and [Awesome-Prompt-Engineering alternatives](/tools/promptslab-awesome-prompt-engineering/alternatives) ([awesome-chatgpt markdown twin](/tools/humanloop-awesome-chatgpt/alternatives.md), [Awesome-Prompt-Engineering markdown twin](/tools/promptslab-awesome-prompt-engineering/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/humanloop-awesome-chatgpt-vs-promptslab-awesome-prompt-engineering.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-chatgpt or Awesome-Prompt-Engineering? awesome-chatgpt: Slowing. Awesome-Prompt-Engineering: 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-chatgpt and Awesome-Prompt-Engineering? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-chatgpt trust report](/tools/humanloop-awesome-chatgpt/trust); [Awesome-Prompt-Engineering trust report](/tools/promptslab-awesome-prompt-engineering/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=humanloop-awesome-chatgpt`](/api/graphcanon/graph?tool=humanloop-awesome-chatgpt) - 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/_