Comparison
Prompt-Engineering-Guide vs frai
Verdict
Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; frai is JavaScript; pick frai when frai is primarily JavaScript; Prompt-Engineering-Guide is MDX.
Markdown twin · Prompt-Engineering-Guide alternatives · frai alternatives
GraphCanon updated today
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Trust & integrity
| Signal | Prompt-Engineering-Guide | frai |
|---|---|---|
| Maintenance | Slowing (121d since push) As of 4d · github_public_v1 | Steady (80d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 4d · osv@v1 | No published findings from this source as of 2026-07-15 As of today · 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-Engineering-Guide
- Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents
- frai
- Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.
Stars
- Prompt-Engineering-Guide
- 76k
- frai
- 51
Forks
- Prompt-Engineering-Guide
- 8.4k
- frai
- 4
Open issues
- Prompt-Engineering-Guide
- 274
- frai
- 0
Language
- Prompt-Engineering-Guide
- MDX
- frai
- JavaScript
Adopt for
- Prompt-Engineering-Guide
- Decision-critical facts for Prompt-Engineering-Guide
- frai
- -
Persona
- Prompt-Engineering-Guide
- -
- frai
- -
Runtime
- Prompt-Engineering-Guide
- -
- frai
- -
License
- Prompt-Engineering-Guide
- MIT
- frai
- MIT
Last pushed
- Prompt-Engineering-Guide
- Mar 11, 2026
- frai
- Apr 25, 2026
Categories
- Prompt-Engineering-Guide
- AI Agents, LLM Frameworks
- frai
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- Prompt-Engineering-Guide
- Slowing (36%)
- frai
- Steady (60%)
Days since push
- Prompt-Engineering-Guide
- 121d
- frai
- 80d
Open issues (now)
- Prompt-Engineering-Guide
- 274
- frai
- 0
Owner type
- Prompt-Engineering-Guide
- Organization
- frai
- User
OSV dependency advisories
- Prompt-Engineering-Guide
- No published findings from this source as of 2026-07-11
- frai
- No published findings from this source as of 2026-07-15
Full report
- Prompt-Engineering-Guide
- Trust report
- frai
- Trust report
Choose Prompt-Engineering-Guide if…
- Prompt-Engineering-Guide is primarily MDX; frai is JavaScript.
- Tags unique to Prompt-Engineering-Guide: agent, agents, ai-agents, chatgpt.
- When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
When NOT to use Prompt-Engineering-Guide
- Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting.
- Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning.
Choose frai if…
- frai is primarily JavaScript; Prompt-Engineering-Guide is MDX.
- Tags unique to frai: ai, ai-compliance, ai-governance, artificial-intelligence.
- Also covers Vector Databases.
When NOT to use frai
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dair-ai/Prompt-Engineering-Guide) · observed Jul 11, 2026
- GitHub forks (dair-ai/Prompt-Engineering-Guide) · observed Jul 11, 2026
- Last push (dair-ai/Prompt-Engineering-Guide) · observed Mar 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sebuzdugan/frai) · observed Jul 15, 2026
- GitHub forks (sebuzdugan/frai) · observed Jul 15, 2026
- Last push (sebuzdugan/frai) · observed Apr 25, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Prompt-Engineering-Guide 76k · frai 51 (synced Jul 11, 2026).
Common questions
- What is the difference between Prompt-Engineering-Guide and frai?
- Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. frai: Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Prompt-Engineering-Guide over frai?
- Choose Prompt-Engineering-Guide over frai when Prompt-Engineering-Guide is primarily MDX; frai is JavaScript; Tags unique to Prompt-Engineering-Guide: agent, agents, ai-agents, chatgpt; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
- When should I choose frai over Prompt-Engineering-Guide?
- Choose frai over Prompt-Engineering-Guide when frai is primarily JavaScript; Prompt-Engineering-Guide is MDX; Tags unique to frai: ai, ai-compliance, ai-governance, artificial-intelligence; Also covers Vector Databases.
- When should I avoid Prompt-Engineering-Guide?
- Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning.
- When should I avoid frai?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is Prompt-Engineering-Guide or frai more popular on GitHub?
- Prompt-Engineering-Guide has more GitHub stars (76,349 vs 51). Stars measure visibility, not whether either tool fits your constraints.
- Are Prompt-Engineering-Guide and frai open source?
- Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, frai: MIT).
- Where can I find alternatives to Prompt-Engineering-Guide or frai?
- GraphCanon lists graph-backed alternatives at Prompt-Engineering-Guide alternatives and frai alternatives (Prompt-Engineering-Guide markdown twin, frai 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-Engineering-Guide or frai?
- Prompt-Engineering-Guide: Slowing. frai: Steady. 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-Engineering-Guide and frai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Prompt-Engineering-Guide trust report; frai trust report.