Comparison
last_layer vs awesome-llm-security
Verdict
Pick last_layer if an ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance; 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.
Markdown twin · last_layer alternatives · awesome-llm-security alternatives
GraphCanon updated Sep 20, 2026
9views this month
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Trust & integrity
| Signal | last_layer | awesome-llm-security |
|---|---|---|
| Maintenance | Dormant (780d since push) As of Sep 14, 2026 · github_public_v1 | Dormant (382d since push) As of Sep 6, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 14, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- last_layer
- Ultra-fast low latency LLM prompt injection jailbreak detection
- awesome-llm-security
- A curation of tools, documents and projects about LLM Security
Stars
- last_layer
- 133
- awesome-llm-security
- 1.7k
Forks
- last_layer
- 6
- awesome-llm-security
- 347
Open issues
- last_layer
- 13
- awesome-llm-security
- 207
Language
- last_layer
- Python
- awesome-llm-security
- -
Adopt for
- last_layer
- An ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance.
- 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
Persona
- last_layer
- -
- awesome-llm-security
- -
Runtime
- last_layer
- -
- awesome-llm-security
- -
License
- last_layer
- MIT
- awesome-llm-security
- -
Last pushed
- last_layer
- Jul 26, 2024
- awesome-llm-security
- Aug 20, 2025
Categories
- last_layer
- Evaluation & Observability
- awesome-llm-security
- Evaluation & Observability
Trust and health
Days since push
- last_layer
- 780d
- awesome-llm-security
- 382d
Open issues (now)
- last_layer
- 13
- awesome-llm-security
- 207
Stars delta
- last_layer
- +2 (30d)
- awesome-llm-security
- +20 (30d)
Open issues delta
- last_layer
- 0 (30d)
- awesome-llm-security
- +34 (30d)
Owner type
- last_layer
- User
- awesome-llm-security
- Organization
OSV dependency advisories
- last_layer
- Published findings
- awesome-llm-security
- No lockfile (source not queried)
Full report
- last_layer
- Trust report
- awesome-llm-security
- Trust report
Choose last_layer if…
- Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard.
- When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs
- Leaner open-issue backlog (13).
When NOT to use last_layer
- If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations
- For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (arekusandr/last_layer) · observed Sep 20, 2026
- GitHub forks (arekusandr/last_layer) · observed Sep 20, 2026
- Last push (arekusandr/last_layer) · observed Jul 26, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (corca-ai/awesome-llm-security) · observed Sep 20, 2026
- GitHub forks (corca-ai/awesome-llm-security) · observed Sep 20, 2026
- Last push (corca-ai/awesome-llm-security) · observed Aug 20, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: last_layer 133 · awesome-llm-security 1.7k (synced Sep 20, 2026).
Common questions
- What is the difference between last_layer and awesome-llm-security?
- last_layer: Ultra-fast low latency LLM prompt injection jailbreak detection. awesome-llm-security: A curation of tools, documents and projects about LLM Security. See the comparison table for live GitHub stats and shared categories.
- When should I choose last_layer over awesome-llm-security?
- Choose last_layer over awesome-llm-security when Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard; When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs; Leaner open-issue backlog (13).
- When should I choose awesome-llm-security over last_layer?
- Choose awesome-llm-security over last_layer 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 avoid last_layer?
- If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind
- 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.
- Is last_layer or awesome-llm-security more popular on GitHub?
- awesome-llm-security has more GitHub stars (1,692 vs 133). Stars measure visibility, not whether either tool fits your constraints.
- Are last_layer and awesome-llm-security open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to last_layer or awesome-llm-security?
- GraphCanon lists graph-backed alternatives at last_layer alternatives and awesome-llm-security alternatives (last_layer markdown twin, awesome-llm-security 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, last_layer or awesome-llm-security?
- last_layer: Dormant. awesome-llm-security: Dormant. 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 last_layer and awesome-llm-security?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: last_layer trust report; awesome-llm-security trust report.