Безопасен ли Paperpilot?
Paperpilot — Nerq Trust Score 72.5/100 (Оценка B). На основе анализа 5 измерений доверия, считается в целом безопасным, но с некоторыми опасениями. Последнее обновление: 2026-04-03.
Да, Paperpilot безопасен для использования. Paperpilot is a software tool с рейтингом доверия Nerq 72.5/100 (B), based on 5 независимых показателей данных. It is recommended for use. Безопасность: 0/100. Обслуживание: 1/100. Popularity: 0/100. Данные из multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Последнее обновление: 2026-04-03. Машинночитаемые данные (JSON).
Безопасен ли Paperpilot?
ДА — Paperpilot имеет рейтинг доверия Nerq 72.5/100 (B). Соответствует порогу доверия Nerq с сильными сигналами в области безопасности, обслуживания и принятия сообществом. Recommended for use — ознакомьтесь с полным отчётом ниже для уточнения.
Каков рейтинг доверия Paperpilot?
Paperpilot имеет рейтинг доверия Nerq 72.5/100, earning a B grade. This score is based on 5 independently measured показателей including безопасность, обслуживание, and принятие сообществом.
Каковы основные выводы по безопасности Paperpilot?
Paperpilot's strongest signal is соответствие at 79/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
Что такое Paperpilot и кто его поддерживает?
| Разработчик | yumuzhihan |
| Категория | research |
| Источник | https://github.com/yumuzhihan/PaperPilot |
| Frameworks | openai · ollama |
| Protocols | rest |
Соответствие нормативам
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 79/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Популярные альтернативы в 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 Score: 72/100 (B).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including безопасность vulnerabilities, обслуживание activity, license соответствие, and принятие сообществом.
How Nerq Assesses Paperpilot's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five показателей. Here is how Paperpilot performs in each:
- Безопасность (0/100): Paperpilot's безопасность posture is poor. This score factors in known CVEs, dependency vulnerabilities, безопасность policy presence, and code signing practices.
- Обслуживание (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 документация, 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. На основе GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 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 безопасность 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 — Проверьте repository's безопасность policy, open issues, and recent commits for signs of active обслуживание.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Paperpilot's dependency tree. - Отзыв 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 - Проверьте 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 безопасность 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. Проверьте 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 безопасность risk.
Regularly check for updates to Paperpilot. Безопасность 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 соответствие with your безопасность policies.
Ensure Paperpilot and all its dependencies are running the latest stable versions to benefit from безопасность patches.
Grant Paperpilot only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Paperpilot's безопасность 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 безопасность updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Paperpilot 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 Trust Score 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 безопасность practices, consistent release cadence, and broad принятие сообществом.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks умеренный 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 Paperpilot 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 обслуживание 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 безопасность and quality. Conversely, a downward trend may signal reduced обслуживание, 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 — безопасность, обслуживание, документация, соответствие, and community — has evolved independently, providing granular visibility into which aspects of Paperpilot are strengthening or weakening over time.
Paperpilot vs Альтернативы
В категории research, Paperpilot получает 72.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Paperpilot vs gpt_academic — Trust Score: 71.3/100
- Paperpilot vs LlamaFactory — Trust Score: 89.1/100
- Paperpilot vs unsloth — Trust Score: 86.6/100
Основные выводы
- Paperpilot имеет рейтинг доверия 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.
Часто задаваемые вопросы
Безопасен ли Paperpilot для использования?
Что такое Paperpilot's trust score?
Какие более безопасные альтернативы Paperpilot?
How often is Paperpilot's safety score updated?
Можно ли использовать Paperpilot в регулируемой среде?
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.