Comparison
awesome-gpt3 vs Awesome-Prompt-Engineering
Verdict
Pick awesome-gpt3 if awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation; 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 · awesome-gpt3 alternatives · Awesome-Prompt-Engineering alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-gpt3 | Awesome-Prompt-Engineering |
|---|---|---|
| Maintenance | Archived (1075d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · 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
- awesome-gpt3
- A collection of demos and articles about the OpenAI GPT-3 API
- Awesome-Prompt-Engineering
- Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers
Stars
- awesome-gpt3
- 4.5k
- Awesome-Prompt-Engineering
- 6.2k
Forks
- awesome-gpt3
- 345
- Awesome-Prompt-Engineering
- 734
Open issues
- awesome-gpt3
- 26
- Awesome-Prompt-Engineering
- 94
Language
- awesome-gpt3
- -
- Awesome-Prompt-Engineering
- TypeScript
Adopt for
- awesome-gpt3
- awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation.
- Awesome-Prompt-Engineering
- Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Persona
- awesome-gpt3
- -
- Awesome-Prompt-Engineering
- -
Runtime
- awesome-gpt3
- -
- Awesome-Prompt-Engineering
- -
License
- awesome-gpt3
- License information not specified, therefore usage rights are uncertain.
- Awesome-Prompt-Engineering
- Apache-2.0
Last pushed
- awesome-gpt3
- Aug 27, 2023
- Awesome-Prompt-Engineering
- Jul 27, 2026
Categories
- awesome-gpt3
- Model Training
- Awesome-Prompt-Engineering
- Developer Tools, Model Training
Trust and health
Maintenance
- awesome-gpt3
- Archived (8%)
- Awesome-Prompt-Engineering
- Very active (96%)
Days since push
- awesome-gpt3
- 1075d
- Awesome-Prompt-Engineering
- 0d
Archived on GitHub
- awesome-gpt3
- Yes
- Awesome-Prompt-Engineering
- No
Open issues (now)
- awesome-gpt3
- 26
- Awesome-Prompt-Engineering
- 94
Owner type
- awesome-gpt3
- User
- Awesome-Prompt-Engineering
- Organization
Full report
- awesome-gpt3
- Trust report
- Awesome-Prompt-Engineering
- Trust report
Shared compatibility
- Python · awesome-gpt3: Python runtime · Awesome-Prompt-Engineering: Python runtime
Choose awesome-gpt3 if…
- Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API..
- Tags unique to awesome-gpt3: ai demos, gpt-3 applications.
- - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing.
When NOT to use awesome-gpt3
- - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK.
- - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites
Choose Awesome-Prompt-Engineering if…
- 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 (elyase/awesome-gpt3) · observed Aug 6, 2026
- GitHub forks (elyase/awesome-gpt3) · observed Aug 6, 2026
- Last push (elyase/awesome-gpt3) · observed Aug 27, 2023
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 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: awesome-gpt3 4.5k · Awesome-Prompt-Engineering 6.2k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-gpt3 and Awesome-Prompt-Engineering?
- awesome-gpt3: A collection of demos and articles about the OpenAI GPT-3 API. 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 awesome-gpt3 over Awesome-Prompt-Engineering?
- Choose awesome-gpt3 over Awesome-Prompt-Engineering when Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API.; Tags unique to awesome-gpt3: ai demos, gpt-3 applications; - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing.
- When should I choose Awesome-Prompt-Engineering over awesome-gpt3?
- Choose Awesome-Prompt-Engineering over awesome-gpt3 when 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 awesome-gpt3?
- - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK. - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites
- 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 awesome-gpt3 or Awesome-Prompt-Engineering more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,197 vs 4,520). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt3 and Awesome-Prompt-Engineering open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt3 or Awesome-Prompt-Engineering?
- GraphCanon lists graph-backed alternatives at awesome-gpt3 alternatives and Awesome-Prompt-Engineering alternatives (awesome-gpt3 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, awesome-gpt3 or Awesome-Prompt-Engineering?
- awesome-gpt3: Archived. 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 awesome-gpt3 and Awesome-Prompt-Engineering?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt3 trust report; Awesome-Prompt-Engineering trust report.