Comparison
HuChenFeng vs Awesome-Prompt-Engineering
Verdict
Pick HuChenFeng when license: HuChenFeng is MIT, Awesome-Prompt-Engineering is Apache-2.0; pick Awesome-Prompt-Engineering when license: Awesome-Prompt-Engineering is Apache-2.0, HuChenFeng is MIT.
Markdown twin · HuChenFeng alternatives · Awesome-Prompt-Engineering alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | HuChenFeng | Awesome-Prompt-Engineering |
|---|---|---|
| Maintenance | Slowing (144d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- HuChenFeng
- 收集户晨风的所有内容
- 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
Stars
- HuChenFeng
- 1.6k
- Awesome-Prompt-Engineering
- 6.2k
Forks
- HuChenFeng
- 180
- Awesome-Prompt-Engineering
- 723
Open issues
- HuChenFeng
- 23
- Awesome-Prompt-Engineering
- 88
Language
- HuChenFeng
- -
- Awesome-Prompt-Engineering
- TypeScript
Adopt for
- HuChenFeng
- -
- Awesome-Prompt-Engineering
- -
Persona
- HuChenFeng
- -
- Awesome-Prompt-Engineering
- -
Runtime
- HuChenFeng
- -
- Awesome-Prompt-Engineering
- -
License
- HuChenFeng
- MIT
- Awesome-Prompt-Engineering
- Apache-2.0
Last pushed
- HuChenFeng
- Feb 17, 2026
- Awesome-Prompt-Engineering
- Jul 11, 2026
Categories
- HuChenFeng
- Speech & Audio
- Awesome-Prompt-Engineering
- LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- HuChenFeng
- Slowing (36%)
- Awesome-Prompt-Engineering
- Very active (96%)
Days since push
- HuChenFeng
- 144d
- Awesome-Prompt-Engineering
- 0d
Open issues (now)
- HuChenFeng
- 23
- Awesome-Prompt-Engineering
- 88
Owner type
- HuChenFeng
- User
- Awesome-Prompt-Engineering
- Organization
Full report
- HuChenFeng
- Trust report
- Awesome-Prompt-Engineering
- Trust report
Choose HuChenFeng if…
- License: HuChenFeng is MIT, Awesome-Prompt-Engineering is Apache-2.0.
- Tags unique to HuChenFeng: archiving, content-analysis, datasets, internet-culture.
- Leaner open-issue backlog (23).
When NOT to use HuChenFeng
- Last GitHub push was 145 days ago (slowing maintenance, Feb 17, 2026). Validate activity before betting a new project on HuChenFeng.
Choose Awesome-Prompt-Engineering if…
- License: Awesome-Prompt-Engineering is Apache-2.0, HuChenFeng is MIT.
- Tags unique to Awesome-Prompt-Engineering: chatgpt, 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Olcmyk/HuChenFeng) · observed Jul 11, 2026
- GitHub forks (Olcmyk/HuChenFeng) · observed Jul 11, 2026
- Last push (Olcmyk/HuChenFeng) · observed Feb 17, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: HuChenFeng 1.6k · Awesome-Prompt-Engineering 6.2k (synced Jul 11, 2026).
Common questions
- What is the difference between HuChenFeng and Awesome-Prompt-Engineering?
- HuChenFeng: 收集户晨风的所有内容. 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. See the comparison table for live GitHub stats and shared categories.
- When should I choose HuChenFeng over Awesome-Prompt-Engineering?
- Choose HuChenFeng over Awesome-Prompt-Engineering when License: HuChenFeng is MIT, Awesome-Prompt-Engineering is Apache-2.0; Tags unique to HuChenFeng: archiving, content-analysis, datasets, internet-culture; Leaner open-issue backlog (23).
- When should I choose Awesome-Prompt-Engineering over HuChenFeng?
- Choose Awesome-Prompt-Engineering over HuChenFeng when License: Awesome-Prompt-Engineering is Apache-2.0, HuChenFeng is MIT; Tags unique to Awesome-Prompt-Engineering: chatgpt, chatgpt-api, deep-learning, few-shot-learning; Also covers LLM Frameworks, Model Training.
- When should I avoid HuChenFeng?
- Last GitHub push was 145 days ago (slowing maintenance, Feb 17, 2026). Validate activity before betting a new project on HuChenFeng.
- 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.
- Is HuChenFeng or Awesome-Prompt-Engineering more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,150 vs 1,630). Stars measure visibility, not whether either tool fits your constraints.
- Are HuChenFeng and Awesome-Prompt-Engineering open source?
- Yes - both are open-source projects on GitHub (HuChenFeng: MIT, Awesome-Prompt-Engineering: Apache-2.0).
- Where can I find alternatives to HuChenFeng or Awesome-Prompt-Engineering?
- GraphCanon lists graph-backed alternatives at HuChenFeng alternatives and Awesome-Prompt-Engineering alternatives (HuChenFeng 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, HuChenFeng or Awesome-Prompt-Engineering?
- HuChenFeng: 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 HuChenFeng and Awesome-Prompt-Engineering?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: HuChenFeng trust report; Awesome-Prompt-Engineering trust report.