Comparison
Awesome-Prompt-Engineering vs ququ
Verdict
Pick Awesome-Prompt-Engineering when awesome-Prompt-Engineering is primarily TypeScript; ququ is JavaScript; pick ququ when ququ is primarily JavaScript; Awesome-Prompt-Engineering is TypeScript.
Markdown twin · Awesome-Prompt-Engineering alternatives · ququ alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Awesome-Prompt-Engineering | ququ |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (276d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- Awesome-Prompt-Engineering
- This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
- ququ
- 开源免费的 Wispr Flow 替代方案 | 集成FunASR本地模型和可配置大语言模型的下一代中文桌面语音工作流
Stars
- Awesome-Prompt-Engineering
- 6.2k
- ququ
- 2.2k
Forks
- Awesome-Prompt-Engineering
- 723
- ququ
- 225
Open issues
- Awesome-Prompt-Engineering
- 88
- ququ
- 46
Language
- Awesome-Prompt-Engineering
- TypeScript
- ququ
- JavaScript
Adopt for
- Awesome-Prompt-Engineering
- -
- ququ
- -
Persona
- Awesome-Prompt-Engineering
- -
- ququ
- -
Runtime
- Awesome-Prompt-Engineering
- -
- ququ
- -
License
- Awesome-Prompt-Engineering
- Apache-2.0
- ququ
- Other
Last pushed
- Awesome-Prompt-Engineering
- Jul 11, 2026
- ququ
- Oct 8, 2025
Categories
- Awesome-Prompt-Engineering
- LLM Frameworks, Model Training, Speech & Audio
- ququ
- Speech & Audio
Trust and health
Maintenance
- Awesome-Prompt-Engineering
- Very active (96%)
- ququ
- Slowing (36%)
Days since push
- Awesome-Prompt-Engineering
- 0d
- ququ
- 276d
Open issues (now)
- Awesome-Prompt-Engineering
- 88
- ququ
- 46
Owner type
- Awesome-Prompt-Engineering
- Organization
- ququ
- User
Security scan
- Awesome-Prompt-Engineering
- No lockfile
- ququ
- No criticals
Full report
- Awesome-Prompt-Engineering
- Trust report
- ququ
- Trust report
Choose Awesome-Prompt-Engineering if…
- Awesome-Prompt-Engineering is primarily TypeScript; ququ is JavaScript.
- License: Awesome-Prompt-Engineering is Apache-2.0, ququ is Other.
- Tags unique to Awesome-Prompt-Engineering: gpt-3, chatgpt-api, deep-learning, few-shot-learning.
- Also covers LLM Frameworks, Model Training.
When NOT to use Awesome-Prompt-Engineering
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose ququ if…
- ququ is primarily JavaScript; Awesome-Prompt-Engineering is TypeScript.
- License: ququ is Other, Awesome-Prompt-Engineering is Apache-2.0.
- Tags unique to ququ: ai-text-processing, chinese-speech-recognition, speech-to-text, local-processing.
When NOT to use ququ
- Last GitHub push was 277 days ago (slowing maintenance, Oct 8, 2025). Validate activity before betting a new project on ququ.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (promptslab/Awesome-Prompt-Engineering) · observed Jul 11, 2026
- GitHub forks (promptslab/Awesome-Prompt-Engineering) · observed Jul 11, 2026
- Last push (promptslab/Awesome-Prompt-Engineering) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yan5xu/ququ) · observed Jul 11, 2026
- GitHub forks (yan5xu/ququ) · observed Jul 11, 2026
- Last push (yan5xu/ququ) · observed Oct 8, 2025
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Prompt-Engineering 6.2k · ququ 2.2k (synced Jul 11, 2026).
Common questions
- What is the difference between Awesome-Prompt-Engineering and ququ?
- Awesome-Prompt-Engineering: This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc. ququ: 开源免费的 Wispr Flow 替代方案 | 集成FunASR本地模型和可配置大语言模型的下一代中文桌面语音工作流. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Prompt-Engineering over ququ?
- Choose Awesome-Prompt-Engineering over ququ when Awesome-Prompt-Engineering is primarily TypeScript; ququ is JavaScript; License: Awesome-Prompt-Engineering is Apache-2.0, ququ is Other; Tags unique to Awesome-Prompt-Engineering: gpt-3, chatgpt-api, deep-learning, few-shot-learning; Also covers LLM Frameworks, Model Training.
- When should I choose ququ over Awesome-Prompt-Engineering?
- Choose ququ over Awesome-Prompt-Engineering when ququ is primarily JavaScript; Awesome-Prompt-Engineering is TypeScript; License: ququ is Other, Awesome-Prompt-Engineering is Apache-2.0; Tags unique to ququ: ai-text-processing, chinese-speech-recognition, speech-to-text, local-processing.
- When should I avoid Awesome-Prompt-Engineering?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid ququ?
- Last GitHub push was 277 days ago (slowing maintenance, Oct 8, 2025). Validate activity before betting a new project on ququ.
- Is Awesome-Prompt-Engineering or ququ more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,150 vs 2,231). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Prompt-Engineering and ququ open source?
- Yes - both are open-source projects on GitHub (Awesome-Prompt-Engineering: Apache-2.0, ququ: Other).
- Where can I find alternatives to Awesome-Prompt-Engineering or ququ?
- GraphCanon lists graph-backed alternatives at Awesome-Prompt-Engineering alternatives and ququ alternatives (Awesome-Prompt-Engineering markdown twin, ququ 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, Awesome-Prompt-Engineering or ququ?
- Awesome-Prompt-Engineering: Very active. ququ: 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 Awesome-Prompt-Engineering and ququ?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Prompt-Engineering trust report; ququ trust report.