Comparison
awesome-prompts vs awesome-LLM-resources
Verdict
Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; pick awesome-LLM-resources if awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a.
Markdown twin · awesome-prompts alternatives · awesome-LLM-resources alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | awesome-prompts | awesome-LLM-resources |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1mo · github_public_v1 | Very active (2d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 1w · 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-prompts
- Curated chatgpt prompts and advanced prompt engineering papers
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- awesome-prompts
- 8.4k
- awesome-LLM-resources
- 8.8k
Forks
- awesome-prompts
- 798
- awesome-LLM-resources
- 950
Open issues
- awesome-prompts
- 35
- awesome-LLM-resources
- 23
Language
- awesome-prompts
- -
- awesome-LLM-resources
- -
Adopt for
- awesome-prompts
- awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers.
- awesome-LLM-resources
- awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a
Persona
- awesome-prompts
- -
- awesome-LLM-resources
- -
Runtime
- awesome-prompts
- -
- awesome-LLM-resources
- -
License
- awesome-prompts
- GPL-3.0
- awesome-LLM-resources
- Apache-2.0
Last pushed
- awesome-prompts
- Jul 11, 2026
- awesome-LLM-resources
- Aug 14, 2026
Categories
- awesome-prompts
- Developer Tools
- awesome-LLM-resources
- AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- awesome-prompts
- 0d
- awesome-LLM-resources
- 2d
Open issues (now)
- awesome-prompts
- 35
- awesome-LLM-resources
- 23
Stars delta
- awesome-prompts
- Unknown
- awesome-LLM-resources
- +142 (30d)
Open issues delta
- awesome-prompts
- Unknown
- awesome-LLM-resources
- -13 (30d)
Full report
- awesome-prompts
- Trust report
- awesome-LLM-resources
- Trust report
Choose awesome-prompts if…
- License: awesome-prompts is GPL-3.0, awesome-LLM-resources is Apache-2.0.
- Tags unique to awesome-prompts: chatgpt, prompt-attack, prompt-engineering, prompt-protect.
- Need detailed prompt engineering resources
When NOT to use awesome-prompts
- Seeking a platform for generating new prompts rather than reviewing existing ones
- In search of direct support tools or services, not just informational content
- Requiring real-time collaboration on prompt creation and experimentation
Choose awesome-LLM-resources if…
- License: awesome-LLM-resources is Apache-2.0, awesome-prompts is GPL-3.0.
- Tags unique to awesome-LLM-resources: book, course, large language models, llama.
- Also covers AI Agents, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training.
- - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.
When NOT to use awesome-LLM-resources
- - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage.
- - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ai-boost/awesome-prompts) · observed Jul 28, 2026
- GitHub forks (ai-boost/awesome-prompts) · observed Jul 28, 2026
- Last push (ai-boost/awesome-prompts) · observed Jul 11, 2026
- License file (GPL-3.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Aug 17, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Aug 17, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-prompts 8.4k · awesome-LLM-resources 8.8k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-prompts and awesome-LLM-resources?
- awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-prompts over awesome-LLM-resources?
- Choose awesome-prompts over awesome-LLM-resources when License: awesome-prompts is GPL-3.0, awesome-LLM-resources is Apache-2.0; Tags unique to awesome-prompts: chatgpt, prompt-attack, prompt-engineering, prompt-protect; Need detailed prompt engineering resources.
- When should I choose awesome-LLM-resources over awesome-prompts?
- Choose awesome-LLM-resources over awesome-prompts when License: awesome-LLM-resources is Apache-2.0, awesome-prompts is GPL-3.0; Tags unique to awesome-LLM-resources: book, course, large language models, llama; Also covers AI Agents, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.
- When should I avoid awesome-prompts?
- Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation
- When should I avoid awesome-LLM-resources?
- - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.
- Is awesome-prompts or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,845 vs 8,440). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-prompts and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, awesome-LLM-resources: Apache-2.0).
- Where can I find alternatives to awesome-prompts or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at awesome-prompts alternatives and awesome-LLM-resources alternatives (awesome-prompts markdown twin, awesome-LLM-resources 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-prompts or awesome-LLM-resources?
- awesome-prompts: Very active. awesome-LLM-resources: 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-prompts and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-prompts trust report; awesome-LLM-resources trust report.