Comparison
last_layer vs hallucination-index
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 hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.
Markdown twin · last_layer alternatives · hallucination-index alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | last_layer | hallucination-index |
|---|---|---|
| Maintenance | Dormant (780d since push) As of Sep 14, 2026 · github_public_v1 | Dormant (418d since push) As of Sep 20, 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 20, 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
- hallucination-index
- Initiative to evaluate and rank popular LLMs based on hallucination propensity
Stars
- last_layer
- 133
- hallucination-index
- 115
Forks
- last_layer
- 6
- hallucination-index
- 8
Open issues
- last_layer
- 13
- hallucination-index
- 1
Language
- last_layer
- Python
- hallucination-index
- -
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.
- hallucination-index
- Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.
Persona
- last_layer
- -
- hallucination-index
- -
Runtime
- last_layer
- -
- hallucination-index
- -
License
- last_layer
- MIT
- hallucination-index
- -
Last pushed
- last_layer
- Jul 26, 2024
- hallucination-index
- Jul 28, 2025
Categories
- last_layer
- Evaluation & Observability
- hallucination-index
- Evaluation & Observability
Trust and health
Days since push
- last_layer
- 780d
- hallucination-index
- 418d
Open issues (now)
- last_layer
- 13
- hallucination-index
- 1
Stars delta
- last_layer
- +2 (30d)
- hallucination-index
- -1 (30d)
Owner type
- last_layer
- User
- hallucination-index
- Organization
OSV dependency advisories
- last_layer
- Published findings
- hallucination-index
- No lockfile (source not queried)
Full report
- last_layer
- Trust report
- hallucination-index
- Trust report
Choose last_layer if…
- Tags unique to last_layer: chatgpt-prompts, jailbreak, llm-guard, llm-guardrails.
- When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs
- More GitHub stars (133 vs 115) - visibility, not fit.
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 hallucination-index if…
- Tags unique to hallucination-index: hallucinations, llm-evaluation, openai, rag.
- Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios.
- More recently updated (last pushed Jul 28, 2025).
When NOT to use hallucination-index
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance.
- Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
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 (rungalileo/hallucination-index) · observed Sep 20, 2026
- GitHub forks (rungalileo/hallucination-index) · observed Sep 20, 2026
- Last push (rungalileo/hallucination-index) · observed Jul 28, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: last_layer 133 · hallucination-index 115 (synced Sep 20, 2026).
Common questions
- What is the difference between last_layer and hallucination-index?
- last_layer: Ultra-fast low latency LLM prompt injection jailbreak detection. hallucination-index: Initiative to evaluate and rank popular LLMs based on hallucination propensity. See the comparison table for live GitHub stats and shared categories.
- When should I choose last_layer over hallucination-index?
- Choose last_layer over hallucination-index when Tags unique to last_layer: chatgpt-prompts, jailbreak, llm-guard, llm-guardrails; When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs; More GitHub stars (133 vs 115) - visibility, not fit.
- When should I choose hallucination-index over last_layer?
- Choose hallucination-index over last_layer when Tags unique to hallucination-index: hallucinations, llm-evaluation, openai, rag; Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios; More recently updated (last pushed Jul 28, 2025).
- 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 hallucination-index?
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
- Is last_layer or hallucination-index more popular on GitHub?
- last_layer has more GitHub stars (133 vs 115). Stars measure visibility, not whether either tool fits your constraints.
- Are last_layer and hallucination-index open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to last_layer or hallucination-index?
- GraphCanon lists graph-backed alternatives at last_layer alternatives and hallucination-index alternatives (last_layer markdown twin, hallucination-index 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 hallucination-index?
- last_layer: Dormant. hallucination-index: 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 hallucination-index?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: last_layer trust report; hallucination-index trust report.