Home/Compare/awesome-ai-safety vs awesome

Comparison

awesome-ai-safety vs awesome

Verdict

Pick awesome-ai-safety when license: awesome-ai-safety is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, awesome-ai-safety is Apache-2.0.

Markdown twin · awesome-ai-safety alternatives · awesome alternatives

GraphCanon updated today

awesome-ai-safety logo

awesome-ai-safety

Giskard-AI/awesome-ai-safety

218pushed Apr 14, 2025
vs
awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026

Trust & integrity

Signalawesome-ai-safetyawesome
Maintenance
Dormant (452d since push)
As of today · github_public_v1
Active (11d 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
No lockfile
As of today · none

Tagline

awesome-ai-safety
📚 A curated list of papers & technical articles on AI Quality & Safety
awesome
😎 Curated list of awesome topics including hardware resources

Stars

awesome-ai-safety
218
awesome
484k

Forks

awesome-ai-safety
38
awesome
36k

Open issues

awesome-ai-safety
17
awesome
92

Language

awesome-ai-safety
-
awesome
-

Adopt for

awesome-ai-safety
-
awesome
-

Persona

awesome-ai-safety
-
awesome
-

Runtime

awesome-ai-safety
-
awesome
-

License

awesome-ai-safety
Apache-2.0
awesome
CC0-1.0

Last pushed

awesome-ai-safety
Apr 14, 2025
awesome
Jun 30, 2026

Categories

awesome-ai-safety
LLM Frameworks, Data & Retrieval, Computer Vision
awesome
LLM Frameworks

Trust and health

Maintenance

awesome-ai-safety
Dormant (18%)
awesome
Active (82%)

Days since push

awesome-ai-safety
452d
awesome
11d

Open issues (now)

awesome-ai-safety
17
awesome
92

Owner type

awesome-ai-safety
Organization
awesome
User

Full report

awesome-ai-safety
Trust report

Choose awesome-ai-safety if…

  • License: awesome-ai-safety is Apache-2.0, awesome is CC0-1.0.
  • Tags unique to awesome-ai-safety: awesome, ai-safety, ai-alignment, ai.
  • Also covers Data & Retrieval, Computer Vision.

When NOT to use awesome-ai-safety

  • Last GitHub push was 453 days ago (dormant maintenance, Apr 14, 2025). Validate activity before betting a new project on awesome-ai-safety.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Choose awesome if…

  • License: awesome is CC0-1.0, awesome-ai-safety is Apache-2.0.
  • Tags unique to awesome: resources.
  • More GitHub stars (484k vs 218) - visibility, not fit.

When NOT to use awesome

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-ai-safety 218 · awesome 484k (synced Jul 11, 2026).

Common questions

What is the difference between awesome-ai-safety and awesome?
awesome-ai-safety: 📚 A curated list of papers & technical articles on AI Quality & Safety. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-ai-safety over awesome?
Choose awesome-ai-safety over awesome when License: awesome-ai-safety is Apache-2.0, awesome is CC0-1.0; Tags unique to awesome-ai-safety: awesome, ai-safety, ai-alignment, ai; Also covers Data & Retrieval, Computer Vision.
When should I choose awesome over awesome-ai-safety?
Choose awesome over awesome-ai-safety when License: awesome is CC0-1.0, awesome-ai-safety is Apache-2.0; Tags unique to awesome: resources; More GitHub stars (484k vs 218) - visibility, not fit.
When should I avoid awesome-ai-safety?
Last GitHub push was 453 days ago (dormant maintenance, Apr 14, 2025). Validate activity before betting a new project on awesome-ai-safety. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
When should I avoid awesome?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is awesome-ai-safety or awesome more popular on GitHub?
awesome has more GitHub stars (484,026 vs 218). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-ai-safety and awesome open source?
Yes - both are open-source projects on GitHub (awesome-ai-safety: Apache-2.0, awesome: CC0-1.0).
Where can I find alternatives to awesome-ai-safety or awesome?
GraphCanon lists graph-backed alternatives at awesome-ai-safety alternatives and awesome alternatives (awesome-ai-safety markdown twin, awesome 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-ai-safety or awesome?
awesome-ai-safety: Dormant. awesome: 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-ai-safety and awesome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-safety trust report; awesome trust report.