¿Es Paperpilot Seguro?
Paperpilot — Nerq Puntuación de Confianza 72.5/100 (Grado B). Basado en el análisis de 5 dimensiones de confianza, se considera generalmente seguro pero con algunas preocupaciones. Última actualización: 2026-04-03.
Sí, Paperpilot es seguro para usar. Paperpilot is a software tool with a Nerq Puntuación de Confianza de 72.5/100 (B), based on 5 dimensiones de datos independientes. It is recommended for use. Seguridad: 0/100. Mantenimiento: 1/100. Popularity: 0/100. Datos obtenidos de multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Última actualización: 2026-04-03. Datos legibles por máquina (JSON).
¿Es Paperpilot Seguro?
YES — Paperpilot tiene una Puntuación de Confianza Nerq de 72.5/100 (B). Cumple con el umbral de confianza de Nerq con señales sólidas en seguridad, mantenimiento y adopción comunitaria. Recommended for use — revise el informe completo a continuación para consideraciones específicas.
¿Cuál es la puntuación de confianza de Paperpilot?
Paperpilot tiene una Puntuación de Confianza Nerq de 72.5/100, obteniendo un grado B. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Paperpilot?
La señal más fuerte de Paperpilot es cumplimiento con 79/100. No se han detectado vulnerabilidades conocidas. Cumple con el umbral verificado de Nerq de 70+.
¿Qué es Paperpilot y quién lo mantiene?
| Autor | yumuzhihan |
| Categoría | research |
| Fuente | https://github.com/yumuzhihan/PaperPilot |
| Frameworks | openai · ollama |
| Protocols | rest |
Cumplimiento Regulatorio
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 79/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en research
What Is Paperpilot?
Paperpilot is a software tool in the research category: AI学术写作助手,支持全流程自动化撰写学术论文. Nerq Trust Puntuación: 72/100 (B).
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 Paperpilot's Safety
Nerq's Puntuación de Confianza is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Paperpilot performs in each:
- Seguridad (0/100): Paperpilot's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Paperpilot 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 (79/100): Paperpilot 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 Puntuación de Confianza de 72.5/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.
Who Should Use Paperpilot?
Paperpilot is designed for:
- Developers and teams working with research tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Paperpilot meets the minimum threshold for production use, but we recommend monitoring for seguridad advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.
How to Verify Paperpilot's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar the 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 Paperpilot's dependency tree. - Revisar permissions — Understand what access Paperpilot requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Paperpilot 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=PaperPilot - Revisar the license — Confirm that Paperpilot'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 Paperpilot
When evaluating whether Paperpilot is safe, consider these category-specific risks:
Understand how Paperpilot processes, stores, and transmits your data. Revisar the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Paperpilot's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Paperpilot. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Paperpilot 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 Paperpilot's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Paperpilot in violation of its license can expose your organization to legal liability.
Best Practices for Using Paperpilot Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Paperpilot while minimizing risk:
Periodically review how Paperpilot is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Paperpilot and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Paperpilot only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Paperpilot's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Paperpilot is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Paperpilot?
Even well-trusted tools aren't right for every situation. Consider avoiding Paperpilot in these scenarios:
- Scenarios where Paperpilot's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive seguridad updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Paperpilot de 72.5/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Paperpilot Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among research tools, the average Puntuación de Confianza is 62/100. Paperpilot's score of 72.5/100 is significantly above the category average of 62/100.
This places Paperpilot in the top tier of research tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature seguridad practices, consistent release cadence, and broad adopción por la comunidad.
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.
Puntuación de Confianza History
Nerq continuously monitors Paperpilot and recalculates its Puntuación de Confianza 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, Paperpilot'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 Paperpilot's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=PaperPilot&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 Paperpilot are strengthening or weakening over time.
Paperpilot vs Alternativas
In the research category, Paperpilot tiene una puntuación de 72.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Paperpilot vs gpt_academic — Trust Puntuación: 71.3/100
- Paperpilot vs LlamaFactory — Trust Puntuación: 89.1/100
- Paperpilot vs unsloth — Trust Puntuación: 86.6/100
Puntos Clave
- Paperpilot tiene una Puntuación de Confianza de 72.5/100 (B) and is Nerq Verified.
- Paperpilot meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among research tools, Paperpilot scores significantly 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 Paperpilot safe to use?
¿Cuál es la puntuación de confianza de Paperpilot?
¿Cuáles son alternativas más seguras a Paperpilot?
How often is Paperpilot's safety score updated?
Can I use Paperpilot in a regulated environment?
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.