Comparison
awesome-llm-security vs kubeshark
Verdict
Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick kubeshark if kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys.
Markdown twin · awesome-llm-security alternatives · kubeshark alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-llm-security | kubeshark |
|---|---|---|
| Maintenance | Slowing (351d since push) As of 2w · github_public_v1 | Very active (5d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · 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
- awesome-llm-security
- A curation of tools, documents and projects about LLM Security
- kubeshark
- eBPF-powered network observability for Kubernetes
Stars
- awesome-llm-security
- 1.7k
- kubeshark
- 12k
Forks
- awesome-llm-security
- 312
- kubeshark
- 542
Open issues
- awesome-llm-security
- 173
- kubeshark
- 141
Language
- awesome-llm-security
- -
- kubeshark
- Go
Adopt for
- awesome-llm-security
- Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
- kubeshark
- Kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys.
Persona
- awesome-llm-security
- -
- kubeshark
- -
Runtime
- awesome-llm-security
- -
- kubeshark
- -
License
- awesome-llm-security
- -
- kubeshark
- Apache-2.0
Last pushed
- awesome-llm-security
- Aug 20, 2025
- kubeshark
- Jul 20, 2026
Categories
- awesome-llm-security
- Evaluation & Observability
- kubeshark
- Evaluation & Observability
Trust and health
Maintenance
- awesome-llm-security
- Slowing (36%)
- kubeshark
- Very active (96%)
Days since push
- awesome-llm-security
- 351d
- kubeshark
- 5d
Open issues (now)
- awesome-llm-security
- 173
- kubeshark
- 141
Full report
- awesome-llm-security
- Trust report
- kubeshark
- Trust report
Choose awesome-llm-security if…
- Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
- Tags unique to awesome-llm-security: awesome-list, llm, security.
- When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When NOT to use awesome-llm-security
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
- If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
Choose kubeshark if…
- Tags unique to kubeshark: cloud-native, devops, docker, ebpf.
- - When you need to perform deep inspection of Kubernetes traffic on both layer 4 (transport) and layer 7 (application), with contextual information from the Kubernetes environment
- More GitHub stars (12k vs 1.7k) - visibility, not fit.
When NOT to use kubeshark
- - If your primary focus is on a different cloud platform as Kubeshark is deeply integrated with Kubernetes and provides its full context along side traffic observations
- - When the system does not support eBPF, which is critical for Kubeshark's operation
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- GitHub forks (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- Last push (corca-ai/awesome-llm-security) · observed Aug 20, 2025
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (kubeshark/kubeshark) · observed Jul 26, 2026
- GitHub forks (kubeshark/kubeshark) · observed Jul 26, 2026
- Last push (kubeshark/kubeshark) · observed Jul 20, 2026
- License file (Apache-2.0) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-security 1.7k · kubeshark 12k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-llm-security and kubeshark?
- awesome-llm-security: A curation of tools, documents and projects about LLM Security. kubeshark: eBPF-powered network observability for Kubernetes. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-security over kubeshark?
- Choose awesome-llm-security over kubeshark when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
- When should I choose kubeshark over awesome-llm-security?
- Choose kubeshark over awesome-llm-security when Tags unique to kubeshark: cloud-native, devops, docker, ebpf; - When you need to perform deep inspection of Kubernetes traffic on both layer 4 (transport) and layer 7 (application), with contextual information from the Kubernetes environment; More GitHub stars (12k vs 1.7k) - visibility, not fit.
- When should I avoid awesome-llm-security?
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
- When should I avoid kubeshark?
- - If your primary focus is on a different cloud platform as Kubeshark is deeply integrated with Kubernetes and provides its full context along side traffic observations - When the system does not support eBPF, which is critical for Kubeshark's operation
- Is awesome-llm-security or kubeshark more popular on GitHub?
- kubeshark has more GitHub stars (12,014 vs 1,672). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-security and kubeshark open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-llm-security or kubeshark?
- GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and kubeshark alternatives (awesome-llm-security markdown twin, kubeshark 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-llm-security or kubeshark?
- awesome-llm-security: Slowing. kubeshark: 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-llm-security and kubeshark?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; kubeshark trust report.