Pluto Duck은(는) 안전한가요?
Pluto Duck — Nerq Trust Score 62.4/100 (C 등급). 5개의 신뢰 차원 분석 결과, 대체로 안전하지만 일부 우려 사항이 있음으로 평가됩니다. 마지막 업데이트: 2026-04-10.
Pluto Duck을(를) 주의하며 사용하세요. Pluto Duck 은(는) software tool입니다 Nerq 신뢰 점수 62.4/100 (C), 5개의 독립적으로 측정된 데이터 차원 기반. Nerq 인증 기준 미달 보안: 0/100. 유지보수: 1/100. 인기도: 0/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: 2026-04-10. 기계 판독 가능 데이터 (JSON).
Pluto Duck은(는) 안전한가요?
CAUTION — Pluto Duck has a Nerq Trust Score of 62.4/100 (C). 보통 수준의 신뢰 신호가 있지만 일부 우려 사항이 있습니다 that warrant attention. Suitable for development use — review 보안 and 유지보수 signals before production deployment.
Pluto Duck의 신뢰 점수는?
Pluto Duck의 Nerq 신뢰 점수는 62.4/100이며 C 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 5개의 독립적으로 측정된 차원을 기반으로 합니다.
Pluto Duck의 주요 보안 발견 사항은?
Pluto Duck의 가장 강한 신호는 규정 준수이며 82/100입니다. 알려진 취약점이 감지되지 않았습니다. 아직 Nerq 인증 임계값 70+에 도달하지 못했습니다.
Pluto Duck은(는) 무엇이며 누가 관리하나요?
| 개발자 | Fluxloop-AI |
| 카테고리 | Data |
| 출처 | https://github.com/Fluxloop-AI/pluto-duck |
| Frameworks | langchain · openai · huggingface |
| Protocols | rest |
규정 준수
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 관할권s |
data의 인기 대안
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 보안 vulnerabilities, 유지보수 activity, license 규정 준수, and 커뮤니티 채택.
How Nerq Assesses Pluto Duck's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 차원. Here is how Pluto Duck performs in each:
- 보안 (0/100): Pluto Duck's 보안 posture is poor. This score factors in known CVEs, dependency vulnerabilities, 보안 policy presence, and code signing practices.
- 유지보수 (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 문서화, usage examples, and contribution guidelines.
- Compliance (82/100): Pluto Duck is broadly compliant. Assessed against regulations in 52 관할권s including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. 기반: 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 보안 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 — 다음을 검토하세요: repository's 보안 policy, open issues, and recent commits for signs of active 유지보수.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Pluto Duck's dependency tree. - 리뷰 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 - 다음을 검토하세요: 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 보안 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. 다음을 검토하세요: 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 보안 risk.
Regularly check for updates to Pluto Duck. 보안 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 규정 준수 assessment covers 52 관할권s worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal 규정 준수.
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 규정 준수 with your 보안 policies.
Ensure Pluto Duck and all its dependencies are running the latest stable versions to benefit from 보안 patches.
Grant Pluto Duck only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Pluto Duck's 보안 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 규정 준수 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 보안 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 차원.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 보통 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 유지보수 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 보안 and quality. Conversely, a downward trend may signal reduced 유지보수, 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 — 보안, 유지보수, 문서화, 규정 준수, and community — has evolved independently, providing granular visibility into which aspects of Pluto Duck are strengthening or weakening over time.
Pluto Duck vs 대안
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
주요 요점
- Pluto Duck has a Trust Score of 62.4/100 (C) and is not yet Nerq Verified.
- Pluto Duck shows 보통 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.
자주 묻는 질문
Pluto Duck은(는) 안전한가요?
Pluto Duck의 신뢰 점수는?
Pluto Duck의 더 안전한 대안은?
Pluto Duck의 보안 점수는 얼마나 자주 업데이트되나요?
규제 환경에서 Pluto Duck을 사용할 수 있나요?
참고 항목
Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.