Comparison
AI-Infra-Guard vs Awesome-LLMOps
Verdict
Pick AI-Infra-Guard if aI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools; pick Awesome-LLMOps if awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more.
Markdown twin · AI-Infra-Guard alternatives · Awesome-LLMOps alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | AI-Infra-Guard | Awesome-LLMOps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Slowing (91d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 5d · 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
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- AI-Infra-Guard
- 4.3k
- Awesome-LLMOps
- 5.9k
Forks
- AI-Infra-Guard
- 419
- Awesome-LLMOps
- 993
Open issues
- AI-Infra-Guard
- 13
- Awesome-LLMOps
- 247
Language
- AI-Infra-Guard
- Python
- Awesome-LLMOps
- Shell
Adopt for
- AI-Infra-Guard
- AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
- Awesome-LLMOps
- Awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more.
Persona
- AI-Infra-Guard
- -
- Awesome-LLMOps
- -
Runtime
- AI-Infra-Guard
- -
- Awesome-LLMOps
- -
License
- AI-Infra-Guard
- Apache-2.0
- Awesome-LLMOps
- CC0-1.0
Last pushed
- AI-Infra-Guard
- Jul 28, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- AI-Infra-Guard
- Evaluation & Observability, LLM Frameworks
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- AI-Infra-Guard
- Very active (96%)
- Awesome-LLMOps
- Slowing (36%)
Days since push
- AI-Infra-Guard
- 0d
- Awesome-LLMOps
- 91d
Open issues (now)
- AI-Infra-Guard
- 13
- Awesome-LLMOps
- 247
Stars delta
- AI-Infra-Guard
- Unknown
- Awesome-LLMOps
- +28 (30d)
Open issues delta
- AI-Infra-Guard
- Unknown
- Awesome-LLMOps
- +66 (30d)
Full report
- AI-Infra-Guard
- Trust report
- Awesome-LLMOps
- Trust report
Choose AI-Infra-Guard if…
- AI-Infra-Guard is primarily Python; Awesome-LLMOps is Shell.
- License: AI-Infra-Guard is Apache-2.0, Awesome-LLMOps is CC0-1.0.
- Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools.
- AI-Infra-Guard ships Docker support for self-hosted deployment.
- If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard.
When NOT to use AI-Infra-Guard
- Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities.
- Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations.
Choose Awesome-LLMOps if…
- Awesome-LLMOps is primarily Shell; AI-Infra-Guard is Python.
- License: Awesome-LLMOps is CC0-1.0, AI-Infra-Guard is Apache-2.0.
- Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops.
- Also covers Computer Vision, Data & Retrieval, Inference & Serving, Model Training, Speech & Audio.
- - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
When NOT to use Awesome-LLMOps
- - When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list.
- - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- GitHub forks (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- Last push (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/Awesome-LLMOps) · observed Aug 20, 2026
- GitHub forks (tensorchord/Awesome-LLMOps) · observed Aug 20, 2026
- Last push (tensorchord/Awesome-LLMOps) · observed May 21, 2026
- License file (CC0-1.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AI-Infra-Guard 4.3k · Awesome-LLMOps 5.9k (synced Jul 28, 2026).
Common questions
- What is the difference between AI-Infra-Guard and Awesome-LLMOps?
- AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers. See the comparison table for live GitHub stats and shared categories.
- When should I choose AI-Infra-Guard over Awesome-LLMOps?
- Choose AI-Infra-Guard over Awesome-LLMOps when AI-Infra-Guard is primarily Python; Awesome-LLMOps is Shell; License: AI-Infra-Guard is Apache-2.0, Awesome-LLMOps is CC0-1.0; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools; AI-Infra-Guard ships Docker support for self-hosted deployment; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard.
- When should I choose Awesome-LLMOps over AI-Infra-Guard?
- Choose Awesome-LLMOps over AI-Infra-Guard when Awesome-LLMOps is primarily Shell; AI-Infra-Guard is Python; License: Awesome-LLMOps is CC0-1.0, AI-Infra-Guard is Apache-2.0; Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops; Also covers Computer Vision, Data & Retrieval, Inference & Serving, Model Training, Speech & Audio; - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
- When should I avoid AI-Infra-Guard?
- Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations.
- When should I avoid Awesome-LLMOps?
- - When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list. - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources.
- Is AI-Infra-Guard or Awesome-LLMOps more popular on GitHub?
- Awesome-LLMOps has more GitHub stars (5,915 vs 4,316). Stars measure visibility, not whether either tool fits your constraints.
- Are AI-Infra-Guard and Awesome-LLMOps open source?
- Yes - both are open-source projects on GitHub (AI-Infra-Guard: Apache-2.0, Awesome-LLMOps: CC0-1.0).
- Where can I find alternatives to AI-Infra-Guard or Awesome-LLMOps?
- GraphCanon lists graph-backed alternatives at AI-Infra-Guard alternatives and Awesome-LLMOps alternatives (AI-Infra-Guard markdown twin, Awesome-LLMOps 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, AI-Infra-Guard or Awesome-LLMOps?
- AI-Infra-Guard: Very active. Awesome-LLMOps: Slowing. 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 AI-Infra-Guard and Awesome-LLMOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AI-Infra-Guard trust report; Awesome-LLMOps trust report.