Comparison
Awesome-Prompt-Engineering vs PPASR
Verdict
Pick Awesome-Prompt-Engineering when awesome-Prompt-Engineering is primarily TypeScript; PPASR is Python; pick PPASR when pPASR is primarily Python; Awesome-Prompt-Engineering is TypeScript.
Markdown twin · Awesome-Prompt-Engineering alternatives · PPASR alternatives
GraphCanon updated today
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Trust & integrity
| Signal | Awesome-Prompt-Engineering | PPASR |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (205d 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 | 6 low (6 low) 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
- PPASR
- 基于PaddlePaddle实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型
Stars
- Awesome-Prompt-Engineering
- 6.2k
- PPASR
- 873
Forks
- Awesome-Prompt-Engineering
- 723
- PPASR
- 129
Open issues
- Awesome-Prompt-Engineering
- 88
- PPASR
- 1
Language
- Awesome-Prompt-Engineering
- TypeScript
- PPASR
- Python
Adopt for
- Awesome-Prompt-Engineering
- -
- PPASR
- -
Persona
- Awesome-Prompt-Engineering
- -
- PPASR
- -
Runtime
- Awesome-Prompt-Engineering
- -
- PPASR
- -
License
- Awesome-Prompt-Engineering
- Apache-2.0
- PPASR
- Apache-2.0
Last pushed
- Awesome-Prompt-Engineering
- Jul 11, 2026
- PPASR
- Dec 17, 2025
Categories
- Awesome-Prompt-Engineering
- LLM Frameworks, Model Training, Speech & Audio
- PPASR
- Speech & Audio
Trust and health
Maintenance
- Awesome-Prompt-Engineering
- Very active (96%)
- PPASR
- Slowing (36%)
Days since push
- Awesome-Prompt-Engineering
- 0d
- PPASR
- 205d
Open issues (now)
- Awesome-Prompt-Engineering
- 88
- PPASR
- 1
Owner type
- Awesome-Prompt-Engineering
- Organization
- PPASR
- User
Security scan
- Awesome-Prompt-Engineering
- No lockfile
- PPASR
- 6 low (6 low)
Full report
- Awesome-Prompt-Engineering
- Trust report
- PPASR
- Trust report
Choose Awesome-Prompt-Engineering if…
- Awesome-Prompt-Engineering is primarily TypeScript; PPASR is Python.
- Tags unique to Awesome-Prompt-Engineering: gpt-3, chatgpt-api, few-shot-learning, machine-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 PPASR if…
- PPASR is primarily Python; Awesome-Prompt-Engineering is TypeScript.
- Tags unique to PPASR: asr, chinese, speech, conformer.
- Leaner open-issue backlog (1).
When NOT to use PPASR
- Last GitHub push was 206 days ago (slowing maintenance, Dec 17, 2025). Validate activity before betting a new project on PPASR.
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 (yeyupiaoling/PPASR) · observed Jul 11, 2026
- GitHub forks (yeyupiaoling/PPASR) · observed Jul 11, 2026
- Last push (yeyupiaoling/PPASR) · observed Dec 17, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Prompt-Engineering 6.2k · PPASR 873 (synced Jul 11, 2026).
Common questions
- What is the difference between Awesome-Prompt-Engineering and PPASR?
- 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. PPASR: 基于PaddlePaddle实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Prompt-Engineering over PPASR?
- Choose Awesome-Prompt-Engineering over PPASR when Awesome-Prompt-Engineering is primarily TypeScript; PPASR is Python; Tags unique to Awesome-Prompt-Engineering: gpt-3, chatgpt-api, few-shot-learning, machine-learning; Also covers LLM Frameworks, Model Training.
- When should I choose PPASR over Awesome-Prompt-Engineering?
- Choose PPASR over Awesome-Prompt-Engineering when PPASR is primarily Python; Awesome-Prompt-Engineering is TypeScript; Tags unique to PPASR: asr, chinese, speech, conformer; Leaner open-issue backlog (1).
- 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 PPASR?
- Last GitHub push was 206 days ago (slowing maintenance, Dec 17, 2025). Validate activity before betting a new project on PPASR.
- Is Awesome-Prompt-Engineering or PPASR more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,150 vs 873). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Prompt-Engineering and PPASR open source?
- Yes - both are open-source projects on GitHub (Awesome-Prompt-Engineering: Apache-2.0, PPASR: Apache-2.0).
- Where can I find alternatives to Awesome-Prompt-Engineering or PPASR?
- GraphCanon lists graph-backed alternatives at Awesome-Prompt-Engineering alternatives and PPASR alternatives (Awesome-Prompt-Engineering markdown twin, PPASR 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 PPASR?
- Awesome-Prompt-Engineering: Very active. PPASR: 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 PPASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Prompt-Engineering trust report; PPASR trust report.