Comparison
prompt-poet vs Awesome-Prompt-Engineering
Verdict
Pick prompt-poet if prompt-Poet, tagged for its user-friendly design and accessible interface, simplifies the technical intricacies of language model prompts for a broad audience; 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 · prompt-poet alternatives · Awesome-Prompt-Engineering alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | prompt-poet | Awesome-Prompt-Engineering |
|---|---|---|
| Maintenance | Slowing (163d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- prompt-poet
- Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
- Awesome-Prompt-Engineering
- Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers
Stars
- prompt-poet
- 1.2k
- Awesome-Prompt-Engineering
- 6.2k
Forks
- prompt-poet
- 95
- Awesome-Prompt-Engineering
- 734
Open issues
- prompt-poet
- 11
- Awesome-Prompt-Engineering
- 94
Language
- prompt-poet
- Python
- Awesome-Prompt-Engineering
- TypeScript
Adopt for
- prompt-poet
- Prompt-Poet, tagged for its user-friendly design and accessible interface, simplifies the technical intricacies of language model prompts for a broad audience.
- Awesome-Prompt-Engineering
- Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Persona
- prompt-poet
- -
- Awesome-Prompt-Engineering
- -
Runtime
- prompt-poet
- -
- Awesome-Prompt-Engineering
- -
License
- prompt-poet
- MIT
- Awesome-Prompt-Engineering
- Apache-2.0
Last pushed
- prompt-poet
- Feb 12, 2026
- Awesome-Prompt-Engineering
- Jul 27, 2026
Categories
- prompt-poet
- Inference & Serving, Model Training
- Awesome-Prompt-Engineering
- Developer Tools, Model Training
Trust and health
Maintenance
- prompt-poet
- Slowing (36%)
- Awesome-Prompt-Engineering
- Very active (96%)
Days since push
- prompt-poet
- 163d
- Awesome-Prompt-Engineering
- 0d
Open issues (now)
- prompt-poet
- 11
- Awesome-Prompt-Engineering
- 94
Full report
- prompt-poet
- Trust report
- Awesome-Prompt-Engineering
- Trust report
Shared compatibility
- Python · prompt-poet: Python runtime · Awesome-Prompt-Engineering: Python runtime
Choose prompt-poet if…
- prompt-poet is primarily Python; Awesome-Prompt-Engineering is TypeScript.
- License: prompt-poet is MIT, Awesome-Prompt-Engineering is Apache-2.0.
- Tags unique to prompt-poet: llm, llm-inference, prompt-design, prompting.
- Also covers Inference & Serving.
- When you are working in an environment with developers and non-technical users and need tools that bridge their skill gaps.
When NOT to use prompt-poet
- When your project demands highly customized prompts without the constraints of a streamlined design process.
- For teams with expert-level prompt engineering skills that seek more flexible and granular control over prompt design.
Choose Awesome-Prompt-Engineering if…
- Awesome-Prompt-Engineering is primarily TypeScript; prompt-poet is Python.
- License: Awesome-Prompt-Engineering is Apache-2.0, prompt-poet is MIT.
- Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt.
- Also covers Developer Tools.
- 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 (character-ai/prompt-poet) · observed Jul 25, 2026
- GitHub forks (character-ai/prompt-poet) · observed Jul 25, 2026
- Last push (character-ai/prompt-poet) · observed Feb 12, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- GitHub forks (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- Last push (promptslab/Awesome-Prompt-Engineering) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: prompt-poet 1.2k · Awesome-Prompt-Engineering 6.2k (synced Jul 25, 2026).
Common questions
- What is the difference between prompt-poet and Awesome-Prompt-Engineering?
- prompt-poet: Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.. 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 prompt-poet over Awesome-Prompt-Engineering?
- Choose prompt-poet over Awesome-Prompt-Engineering when prompt-poet is primarily Python; Awesome-Prompt-Engineering is TypeScript; License: prompt-poet is MIT, Awesome-Prompt-Engineering is Apache-2.0; Tags unique to prompt-poet: llm, llm-inference, prompt-design, prompting; Also covers Inference & Serving; When you are working in an environment with developers and non-technical users and need tools that bridge their skill gaps.
- When should I choose Awesome-Prompt-Engineering over prompt-poet?
- Choose Awesome-Prompt-Engineering over prompt-poet when Awesome-Prompt-Engineering is primarily TypeScript; prompt-poet is Python; License: Awesome-Prompt-Engineering is Apache-2.0, prompt-poet is MIT; Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt; Also covers Developer Tools; You need focused materials on GPT and related models for prompt engineering.
- When should I avoid prompt-poet?
- When your project demands highly customized prompts without the constraints of a streamlined design process. For teams with expert-level prompt engineering skills that seek more flexible and granular control over prompt design.
- 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 prompt-poet or Awesome-Prompt-Engineering more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,197 vs 1,153). Stars measure visibility, not whether either tool fits your constraints.
- Are prompt-poet and Awesome-Prompt-Engineering open source?
- Yes - both are open-source projects on GitHub (prompt-poet: MIT, Awesome-Prompt-Engineering: Apache-2.0).
- Where can I find alternatives to prompt-poet or Awesome-Prompt-Engineering?
- GraphCanon lists graph-backed alternatives at prompt-poet alternatives and Awesome-Prompt-Engineering alternatives (prompt-poet 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, prompt-poet or Awesome-Prompt-Engineering?
- prompt-poet: 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 prompt-poet and Awesome-Prompt-Engineering?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prompt-poet trust report; Awesome-Prompt-Engineering trust report.