Comparison
llm-attacks vs awesome
Verdict
Pick llm-attacks when license: llm-attacks is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, llm-attacks is MIT.
Markdown twin · llm-attacks alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | llm-attacks | awesome |
|---|---|---|
| Maintenance | Dormant (708d 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) | 58 low (58 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- llm-attacks
- Universal and Transferable Attacks on Aligned Language Models
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- llm-attacks
- 4.7k
- awesome
- 484k
Forks
- llm-attacks
- 631
- awesome
- 36k
Open issues
- llm-attacks
- 70
- awesome
- 92
Language
- llm-attacks
- Python
- awesome
- -
Adopt for
- llm-attacks
- -
- awesome
- -
Persona
- llm-attacks
- -
- awesome
- -
Runtime
- llm-attacks
- -
- awesome
- -
License
- llm-attacks
- MIT
- awesome
- CC0-1.0
Last pushed
- llm-attacks
- Aug 2, 2024
- awesome
- Jun 30, 2026
Categories
- llm-attacks
- LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- llm-attacks
- Dormant (18%)
- awesome
- Active (82%)
Days since push
- llm-attacks
- 708d
- awesome
- 11d
Open issues (now)
- llm-attacks
- 70
- awesome
- 92
Owner type
- llm-attacks
- Organization
- awesome
- User
Security scan
- llm-attacks
- 58 low (58 low)
- awesome
- No lockfile
Full report
- llm-attacks
- Trust report
- awesome
- Trust report
Choose llm-attacks if…
- License: llm-attacks is MIT, awesome is CC0-1.0.
- Tags unique to llm-attacks: python.
- Leaner open-issue backlog (70).
When NOT to use llm-attacks
- Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-attacks.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose awesome if…
- License: awesome is CC0-1.0, llm-attacks is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 4.7k) - 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 (llm-attacks/llm-attacks) · observed Jul 11, 2026
- GitHub forks (llm-attacks/llm-attacks) · observed Jul 11, 2026
- Last push (llm-attacks/llm-attacks) · observed Aug 2, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm-attacks 4.7k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between llm-attacks and awesome?
- llm-attacks: Universal and Transferable Attacks on Aligned Language Models. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-attacks over awesome?
- Choose llm-attacks over awesome when License: llm-attacks is MIT, awesome is CC0-1.0; Tags unique to llm-attacks: python; Leaner open-issue backlog (70).
- When should I choose awesome over llm-attacks?
- Choose awesome over llm-attacks when License: awesome is CC0-1.0, llm-attacks is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 4.7k) - visibility, not fit.
- When should I avoid llm-attacks?
- Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-attacks. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 llm-attacks or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 4,735). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-attacks and awesome open source?
- Yes - both are open-source projects on GitHub (llm-attacks: MIT, awesome: CC0-1.0).
- Where can I find alternatives to llm-attacks or awesome?
- GraphCanon lists graph-backed alternatives at llm-attacks alternatives and awesome alternatives (llm-attacks 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, llm-attacks or awesome?
- llm-attacks: 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 llm-attacks and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-attacks trust report; awesome trust report.