Comparison
last_layer vs deepeval
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 deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Markdown twin · last_layer alternatives · deepeval alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | last_layer | deepeval |
|---|---|---|
| Maintenance | Dormant (780d since push) As of Sep 14, 2026 · github_public_v1 | Very active (1d 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
- deepeval
- LLM Evaluation Framework.
Stars
- last_layer
- 133
- deepeval
- 18k
Forks
- last_layer
- 6
- deepeval
- 2.0k
Open issues
- last_layer
- 13
- deepeval
- 624
Language
- last_layer
- Python
- deepeval
- Python
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.
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Persona
- last_layer
- -
- deepeval
- -
Runtime
- last_layer
- -
- deepeval
- -
License
- last_layer
- MIT
- deepeval
- Apache-2.0 License
Last pushed
- last_layer
- Jul 26, 2024
- deepeval
- Sep 18, 2026
Categories
- last_layer
- Evaluation & Observability
- deepeval
- Evaluation & Observability
Trust and health
Maintenance
- last_layer
- Dormant (18%)
- deepeval
- Very active (96%)
Days since push
- last_layer
- 780d
- deepeval
- 1d
Open issues (now)
- last_layer
- 13
- deepeval
- 624
Stars delta
- last_layer
- +2 (30d)
- deepeval
- +1.1k (30d)
Open issues delta
- last_layer
- 0 (30d)
- deepeval
- +220 (30d)
Owner type
- last_layer
- User
- deepeval
- Organization
OSV dependency advisories
- last_layer
- Published findings
- deepeval
- No lockfile (source not queried)
Full report
- last_layer
- Trust report
- deepeval
- Trust report
Shared compatibility
- Python · last_layer: Python runtime · deepeval: Python runtime
Choose last_layer if…
- License: last_layer is MIT, deepeval is Apache-2.0.
- 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
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 deepeval if…
- License: deepeval is Apache-2.0, last_layer is MIT.
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: evaluation, llm-evaluation, metrics.
- When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
When NOT to use deepeval
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill.
- In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
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 (confident-ai/deepeval) · observed Sep 20, 2026
- GitHub forks (confident-ai/deepeval) · observed Sep 20, 2026
- Last push (confident-ai/deepeval) · observed Sep 18, 2026
- License file (Apache-2.0) · 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 · deepeval 18k (synced Sep 20, 2026).
Common questions
- What is the difference between last_layer and deepeval?
- last_layer: Ultra-fast low latency LLM prompt injection jailbreak detection. deepeval: LLM Evaluation Framework.. See the comparison table for live GitHub stats and shared categories.
- When should I choose last_layer over deepeval?
- Choose last_layer over deepeval when License: last_layer is MIT, deepeval is Apache-2.0; 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.
- When should I choose deepeval over last_layer?
- Choose deepeval over last_layer when License: deepeval is Apache-2.0, last_layer is MIT; Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: evaluation, llm-evaluation, metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
- 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 deepeval?
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
- Is last_layer or deepeval more popular on GitHub?
- deepeval has more GitHub stars (18,341 vs 133). Stars measure visibility, not whether either tool fits your constraints.
- Are last_layer and deepeval open source?
- Yes - both are open-source projects on GitHub (last_layer: MIT, deepeval: Apache-2.0).
- Where can I find alternatives to last_layer or deepeval?
- GraphCanon lists graph-backed alternatives at last_layer alternatives and deepeval alternatives (last_layer markdown twin, deepeval 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 deepeval?
- last_layer: Dormant. deepeval: 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 last_layer and deepeval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: last_layer trust report; deepeval trust report.