¿Es Pluto Duck Seguro?
Pluto Duck — Nerq Trust Score 62.4/100 (Grado C). Basado en el análisis de 5 dimensiones de confianza, se considera generalmente seguro pero con algunas preocupaciones. Última actualización: 2026-04-06.
Usa Pluto Duck con precaución. Pluto Duck es un software tool con un Nerq Trust Score de 62.4/100 (C), basado en 5 dimensiones de datos independientes. Por debajo del umbral verificado de Nerq Seguridad: 0/100. Mantenimiento: 1/100. Popularidad: 0/100. Datos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Última actualización: 2026-04-06. Datos legibles por máquina (JSON).
¿Es Pluto Duck Seguro?
CAUTION — Pluto Duck has a Nerq Trust Score of 62.4/100 (C). Tiene señales de confianza moderadas pero muestra algunas áreas de preocupación that warrant attention. Suitable for development use — review seguridad and mantenimiento signals before production deployment.
¿Cuál es la puntuación de confianza de Pluto Duck?
Pluto Duck tiene una Puntuación de Confianza Nerq de 62.4/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Pluto Duck?
La señal más fuerte de Pluto Duck es cumplimiento con 82/100. No se han detectado vulnerabilidades conocidas. Aún no ha alcanzado el umbral verificado de Nerq de 70+.
¿Qué es Pluto Duck y quién lo mantiene?
| Autor | Fluxloop-AI |
| Categoría | Data |
| Fuente | https://github.com/Fluxloop-AI/pluto-duck |
| Frameworks | langchain · openai · huggingface |
| Protocols | rest |
Cumplimiento Regulatorio
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en data
What Is Pluto Duck?
Pluto Duck is a software tool in the data category: Local-first analytics studio with an AI Data Agent for chat-based data analysis and pipeline management.. Nerq Trust Score: 62/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including seguridad vulnerabilities, mantenimiento activity, license cumplimiento, and adopción por la comunidad.
How Nerq Assesses Pluto Duck's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Pluto Duck performs in each:
- Seguridad (0/100): Pluto Duck's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Pluto Duck is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentación, usage examples, and contribution guidelines.
- Compliance (82/100): Pluto Duck is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basado en GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 62.4/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Pluto Duck?
Pluto Duck is designed for:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Pluto Duck is suitable for development and testing environments. Before production deployment, conduct a thorough review of its seguridad posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Pluto Duck's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar el/la repository's seguridad policy, open issues, and recent commits for signs of active mantenimiento.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Pluto Duck's dependency tree. - Reseña permissions — Understand what access Pluto Duck requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Pluto Duck in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=pluto-duck - Revisar el/la license — Confirm that Pluto Duck's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses seguridad concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Pluto Duck
When evaluating whether Pluto Duck is safe, consider these category-specific risks:
Understand how Pluto Duck processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Pluto Duck's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Pluto Duck. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Pluto Duck connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Pluto Duck's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Pluto Duck in violation of its license can expose your organization to legal liability.
Pluto Duck and the EU AI Act
Pluto Duck is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's cumplimiento assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal cumplimiento.
Best Practices for Using Pluto Duck Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Pluto Duck while minimizing risk:
Periodically review how Pluto Duck is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Pluto Duck and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Pluto Duck only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Pluto Duck's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Pluto Duck is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Pluto Duck?
Even promising tools aren't right for every situation. Consider avoiding Pluto Duck in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional cumplimiento review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Pluto Duck's trust score of 62.4/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.
How Pluto Duck Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Trust Score is 62/100. Pluto Duck's score of 62.4/100 is above the category average of 62/100.
This positions Pluto Duck favorably among data tools. While it outperforms the average, there is still room for improvement in certain trust dimensiones.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderado in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Pluto Duck and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or mantenimiento patterns change, Pluto Duck's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to seguridad and quality. Conversely, a downward trend may signal reduced mantenimiento, growing technical debt, or unresolved vulnerabilities. To track Pluto Duck's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=pluto-duck&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — seguridad, mantenimiento, documentación, cumplimiento, and community — has evolved independently, providing granular visibility into which aspects of Pluto Duck are strengthening or weakening over time.
Pluto Duck vs Alternativas
In the data category, Pluto Duck scores 62.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Pluto Duck vs firecrawl — Trust Score: 73.8/100
- Pluto Duck vs MinerU — Trust Score: 84.6/100
- Pluto Duck vs mindsdb — Trust Score: 77.5/100
Puntos Clave
- Pluto Duck has a Trust Score of 62.4/100 (C) and is not yet Nerq Verified.
- Pluto Duck shows moderado trust signals. Conduct thorough due diligence before deploying to production environments.
- Among data tools, Pluto Duck scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Preguntas Frecuentes
¿Es Pluto Duck Seguro?
¿Cuál es la puntuación de confianza de Pluto Duck?
What are safer alternatives to Pluto Duck?
How often is Pluto Duck's safety score updated?
Can I use Pluto Duck in a regulated environment?
Ver también
Disclaimer: Las puntuaciones de confianza de Nerq son evaluaciones automatizadas basadas en señales disponibles públicamente. No son respaldos ni garantías. Siempre realice su propia diligencia debida.