--- title: "promptsource vs wonderful-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-promptsource-vs-langgptai-wonderful-prompts" tools: ["bigscience-workshop-promptsource", "langgptai-wonderful-prompts"] --- # promptsource vs wonderful-prompts *GraphCanon updated Aug 15, 2026* ## Verdict Pick promptsource if promptSource aids in creating, sharing, and using natural language prompts for large language models; pick wonderful-prompts if enhances ChatGPT with optimized prompts and guides for improved playability and utility. [promptsource](https://github.com/bigscience-workshop/promptsource) reports 3.0k GitHub stars, 375 forks, and 43 open issues, last pushed Oct 23, 2023. [wonderful-prompts](https://langgptai.feishu.cn/wiki/RXdbwRyASiShtDky381ciwFEnpe) has 6.2k stars, 532 forks, and 1 open issues, last pushed Oct 22, 2025. Figures are from public GitHub metadata via [promptsource's repository](https://github.com/bigscience-workshop/promptsource) and [wonderful-prompts's repository](https://github.com/langgptai/wonderful-prompts). | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [wonderful-prompts](/tools/langgptai-wonderful-prompts.md) | | --- | --- | --- | | Tagline | Toolkit for creating, sharing and using natural language prompts | 精选中文 prompt，提升 ChatGPT 可玩性和可用性 | | Stars | 3,029 | 6,206 | | Forks | 375 | 532 | | Open issues | 43 | 1 | | Language | Python | - | | Adopt for | PromptSource aids in creating, sharing, and using natural language prompts for large language models. | Enhances ChatGPT with optimized prompts and guides for improved playability and utility. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools, Model Training | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [wonderful-prompts](/tools/langgptai-wonderful-prompts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1027d | 278d | | Open issues (now) | 43 | 1 | | Stars delta | +2 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/bigscience-workshop-promptsource/trust.md) | [trust report](/tools/langgptai-wonderful-prompts/trust.md) | ## Shared compatibility - **Python**: [promptsource](/tools/bigscience-workshop-promptsource.md) - Python runtime; [wonderful-prompts](/tools/langgptai-wonderful-prompts.md) - Python runtime ## Decision facts: promptsource - **Adopt for:** PromptSource aids in creating, sharing, and using natural language prompts for large language models. ## Decision facts: wonderful-prompts - **Adopt for:** Enhances ChatGPT with optimized prompts and guides for improved playability and utility. ## Choose when ### Choose promptsource if… - License: promptsource is Apache-2.0, wonderful-prompts is MIT. - Tags unique to promptsource: few-shot, fine-tuning, language-models, machine-learning. - Also covers Model Training. - When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja. ### Choose wonderful-prompts if… - License: wonderful-prompts is MIT, promptsource is Apache-2.0. - Tags unique to wonderful-prompts: chatgpt, prompt-engineering. - You need to improve interaction experience or application efficiency of ChatGPT in Chinese-language contexts. ## When NOT to use promptsource - Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations. - Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments. ## When NOT to use wonderful-prompts - Your primary working language is not Chinese, as the prompts are optimized specifically for this language. ## Common questions ### What is the difference between promptsource and wonderful-prompts? promptsource: Toolkit for creating, sharing and using natural language prompts. wonderful-prompts: 精选中文 prompt，提升 ChatGPT 可玩性和可用性. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptsource over wonderful-prompts? Choose promptsource over wonderful-prompts when License: promptsource is Apache-2.0, wonderful-prompts is MIT; Tags unique to promptsource: few-shot, fine-tuning, language-models, machine-learning; Also covers Model Training; When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja. ### When should I choose wonderful-prompts over promptsource? Choose wonderful-prompts over promptsource when License: wonderful-prompts is MIT, promptsource is Apache-2.0; Tags unique to wonderful-prompts: chatgpt, prompt-engineering; You need to improve interaction experience or application efficiency of ChatGPT in Chinese-language contexts. ### When should I avoid promptsource? Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations. Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments. ### When should I avoid wonderful-prompts? Your primary working language is not Chinese, as the prompts are optimized specifically for this language. ### Is promptsource or wonderful-prompts more popular on GitHub? wonderful-prompts has more GitHub stars (6,206 vs 3,029). Stars measure visibility, not whether either tool fits your constraints. ### Are promptsource and wonderful-prompts open source? Yes - both are open-source projects on GitHub (promptsource: Apache-2.0, wonderful-prompts: MIT). ### Where can I find alternatives to promptsource or wonderful-prompts? GraphCanon lists graph-backed alternatives at [promptsource alternatives](/tools/bigscience-workshop-promptsource/alternatives) and [wonderful-prompts alternatives](/tools/langgptai-wonderful-prompts/alternatives) ([promptsource markdown twin](/tools/bigscience-workshop-promptsource/alternatives.md), [wonderful-prompts markdown twin](/tools/langgptai-wonderful-prompts/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/bigscience-workshop-promptsource-vs-langgptai-wonderful-prompts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptsource or wonderful-prompts? promptsource: Dormant. wonderful-prompts: Slowing. 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 promptsource and wonderful-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsource trust report](/tools/bigscience-workshop-promptsource/trust); [wonderful-prompts trust report](/tools/langgptai-wonderful-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigscience-workshop-promptsource`](/api/graphcanon/graph?tool=bigscience-workshop-promptsource) - 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/_