Comparison
awesome vs AI-Infra-Guard
Verdict
Pick awesome when license: awesome is CC0-1.0, AI-Infra-Guard is Apache-2.0; pick AI-Infra-Guard when license: AI-Infra-Guard is Apache-2.0, awesome is CC0-1.0.
Markdown twin · awesome alternatives · AI-Infra-Guard alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome | AI-Infra-Guard |
|---|---|---|
| Maintenance | Active (11d since push) As of today · github_public_v1 | Very active (3d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- awesome
- 😎 Curated list of awesome topics including hardware resources
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
Stars
- awesome
- 484k
- AI-Infra-Guard
- 4.1k
Forks
- awesome
- 36k
- AI-Infra-Guard
- 394
Open issues
- awesome
- 92
- AI-Infra-Guard
- 19
Language
- awesome
- -
- AI-Infra-Guard
- Python
Adopt for
- awesome
- -
- AI-Infra-Guard
- -
Persona
- awesome
- -
- AI-Infra-Guard
- -
Runtime
- awesome
- -
- AI-Infra-Guard
- -
License
- awesome
- CC0-1.0
- AI-Infra-Guard
- Apache-2.0
Last pushed
- awesome
- Jun 30, 2026
- AI-Infra-Guard
- Jul 8, 2026
Categories
- awesome
- LLM Frameworks
- AI-Infra-Guard
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- awesome
- Active (82%)
- AI-Infra-Guard
- Very active (96%)
Days since push
- awesome
- 11d
- AI-Infra-Guard
- 3d
Open issues (now)
- awesome
- 92
- AI-Infra-Guard
- 19
Owner type
- awesome
- User
- AI-Infra-Guard
- Organization
Full report
- awesome
- Trust report
- AI-Infra-Guard
- Trust report
Choose awesome if…
- License: awesome is CC0-1.0, AI-Infra-Guard is Apache-2.0.
- Tags unique to awesome: awesome-list, resources.
- More GitHub stars (484k vs 4.1k) - 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.
Choose AI-Infra-Guard if…
- License: AI-Infra-Guard is Apache-2.0, awesome is CC0-1.0.
- Tags unique to AI-Infra-Guard: agent, agent-security, ai-infra, ai-red-teaming.
- Also covers AI Agents, Vector Databases.
When NOT to use AI-Infra-Guard
- 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 (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 (Tencent/AI-Infra-Guard) · observed Jul 11, 2026
- GitHub forks (Tencent/AI-Infra-Guard) · observed Jul 11, 2026
- Last push (Tencent/AI-Infra-Guard) · observed Jul 8, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome 484k · AI-Infra-Guard 4.1k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome and AI-Infra-Guard?
- awesome: 😎 Curated list of awesome topics including hardware resources. AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome over AI-Infra-Guard?
- Choose awesome over AI-Infra-Guard when License: awesome is CC0-1.0, AI-Infra-Guard is Apache-2.0; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 4.1k) - visibility, not fit.
- When should I choose AI-Infra-Guard over awesome?
- Choose AI-Infra-Guard over awesome when License: AI-Infra-Guard is Apache-2.0, awesome is CC0-1.0; Tags unique to AI-Infra-Guard: agent, agent-security, ai-infra, ai-red-teaming; Also covers AI Agents, Vector Databases.
- 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.
- When should I avoid AI-Infra-Guard?
- 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 awesome or AI-Infra-Guard more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 4,091). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome and AI-Infra-Guard open source?
- Yes - both are open-source projects on GitHub (awesome: CC0-1.0, AI-Infra-Guard: Apache-2.0).
- Where can I find alternatives to awesome or AI-Infra-Guard?
- GraphCanon lists graph-backed alternatives at awesome alternatives and AI-Infra-Guard alternatives (awesome markdown twin, AI-Infra-Guard 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 or AI-Infra-Guard?
- awesome: Active. AI-Infra-Guard: 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 and AI-Infra-Guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; AI-Infra-Guard trust report.