Comparison
wonderful-prompts vs Awesome-Prompt-Engineering
Verdict
Pick wonderful-prompts if enhances ChatGPT with optimized prompts and guides for improved playability and utility; pick Awesome-Prompt-Engineering if awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Markdown twin · wonderful-prompts alternatives · Awesome-Prompt-Engineering alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | wonderful-prompts | Awesome-Prompt-Engineering |
|---|---|---|
| Maintenance | Active (25d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- wonderful-prompts
- 精选中文 prompt，提升 ChatGPT 可玩性和可用性
- Awesome-Prompt-Engineering
- Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers
Stars
- wonderful-prompts
- 6.3k
- Awesome-Prompt-Engineering
- 6.3k
Forks
- wonderful-prompts
- 537
- Awesome-Prompt-Engineering
- 765
Open issues
- wonderful-prompts
- 0
- Awesome-Prompt-Engineering
- 116
Language
- wonderful-prompts
- -
- Awesome-Prompt-Engineering
- TypeScript
Adopt for
- wonderful-prompts
- Enhances ChatGPT with optimized prompts and guides for improved playability and utility.
- Awesome-Prompt-Engineering
- Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Persona
- wonderful-prompts
- -
- Awesome-Prompt-Engineering
- -
Runtime
- wonderful-prompts
- -
- Awesome-Prompt-Engineering
- -
License
- wonderful-prompts
- MIT
- Awesome-Prompt-Engineering
- Apache-2.0
Last pushed
- wonderful-prompts
- Aug 25, 2026
- Awesome-Prompt-Engineering
- Sep 19, 2026
Categories
- wonderful-prompts
- Developer Tools
- Awesome-Prompt-Engineering
- Developer Tools, Model Training
Trust and health
Maintenance
- wonderful-prompts
- Active (82%)
- Awesome-Prompt-Engineering
- Very active (96%)
Days since push
- wonderful-prompts
- 25d
- Awesome-Prompt-Engineering
- 0d
Open issues (now)
- wonderful-prompts
- 0
- Awesome-Prompt-Engineering
- 116
Stars delta
- wonderful-prompts
- +109 (30d)
- Awesome-Prompt-Engineering
- +139 (30d)
Open issues delta
- wonderful-prompts
- -1 (30d)
- Awesome-Prompt-Engineering
- +22 (30d)
Full report
- wonderful-prompts
- Trust report
- Awesome-Prompt-Engineering
- Trust report
Shared compatibility
- Python · wonderful-prompts: Python runtime · Awesome-Prompt-Engineering: Python runtime
Choose wonderful-prompts if…
- License: wonderful-prompts is MIT, Awesome-Prompt-Engineering is Apache-2.0.
- Tags unique to wonderful-prompts: prompts.
- You need to improve interaction experience or application efficiency of ChatGPT in Chinese-language contexts.
When NOT to use wonderful-prompts
- Your primary working language is not Chinese, as the prompts are optimized specifically for this language.
Choose Awesome-Prompt-Engineering if…
- License: Awesome-Prompt-Engineering is Apache-2.0, wonderful-prompts is MIT.
- 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-Prompt-Engineering
- The project requires languages other than TypeScript
- Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgptai/wonderful-prompts) · observed Sep 20, 2026
- GitHub forks (langgptai/wonderful-prompts) · observed Sep 20, 2026
- Last push (langgptai/wonderful-prompts) · observed Aug 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (promptslab/Awesome-Prompt-Engineering) · observed Sep 20, 2026
- GitHub forks (promptslab/Awesome-Prompt-Engineering) · observed Sep 20, 2026
- Last push (promptslab/Awesome-Prompt-Engineering) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: wonderful-prompts 6.3k · Awesome-Prompt-Engineering 6.3k (synced Sep 20, 2026).
Common questions
- What is the difference between wonderful-prompts and Awesome-Prompt-Engineering?
- wonderful-prompts: 精选中文 prompt，提升 ChatGPT 可玩性和可用性. 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 wonderful-prompts over Awesome-Prompt-Engineering?
- Choose wonderful-prompts over Awesome-Prompt-Engineering when License: wonderful-prompts is MIT, Awesome-Prompt-Engineering is Apache-2.0; Tags unique to wonderful-prompts: prompts; You need to improve interaction experience or application efficiency of ChatGPT in Chinese-language contexts.
- When should I choose Awesome-Prompt-Engineering over wonderful-prompts?
- Choose Awesome-Prompt-Engineering over wonderful-prompts when License: Awesome-Prompt-Engineering is Apache-2.0, wonderful-prompts is MIT; 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 wonderful-prompts?
- Your primary working language is not Chinese, as the prompts are optimized specifically for this language.
- 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 wonderful-prompts or Awesome-Prompt-Engineering more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,336 vs 6,315). Stars measure visibility, not whether either tool fits your constraints.
- Are wonderful-prompts and Awesome-Prompt-Engineering open source?
- Yes - both are open-source projects on GitHub (wonderful-prompts: MIT, Awesome-Prompt-Engineering: Apache-2.0).
- Where can I find alternatives to wonderful-prompts or Awesome-Prompt-Engineering?
- GraphCanon lists graph-backed alternatives at wonderful-prompts alternatives and Awesome-Prompt-Engineering alternatives (wonderful-prompts markdown twin, Awesome-Prompt-Engineering markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, wonderful-prompts or Awesome-Prompt-Engineering?
- wonderful-prompts: Active. 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 wonderful-prompts and Awesome-Prompt-Engineering?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: wonderful-prompts trust report; Awesome-Prompt-Engineering trust report.