Doccano은(는) 안전한가요?

Doccano — Nerq 신뢰 점수 71.8/100 (B 등급). 5개의 신뢰 차원 분석 결과, 대체로 안전하지만 일부 우려 사항이 있음으로 평가됩니다. 마지막 업데이트: 2026-04-02.

네, Doccano은(는) 사용하기에 안전합니다. Doccano is a software tool Nerq 신뢰 점수 71.8/100 (B), based on 5 독립적인 데이터 차원. It is recommended for use. 보안: 0/100. 유지보수: 0/100. Popularity: 0/100. 데이터 출처: multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. 최종 업데이트: 2026-04-02. 기계 판독 가능 데이터 (JSON).

Doccano은(는) 안전한가요?

— Doccano 의 Nerq 신뢰 점수는 71.8/100 (B). 보안, 유지보수 및 커뮤니티 채택에서 강력한 신호로 Nerq 신뢰 기준을 충족합니다. Recommended for use — 구체적인 사항은 아래 전체 보고서를 참조하세요.

보안 분석 → {name} 개인정보 보고서 →

Doccano의 신뢰 점수는?

Doccano 의 Nerq 신뢰 점수는 71.8/100, earning a B grade. This score is based on 5 independently measured 차원 including 보안, 유지보수, and 커뮤니티 채택.

보안
0
규정 준수
92
유지보수
0
문서화
0
인기도
0

Doccano의 주요 보안 발견 사항은?

Doccano's strongest signal is 규정 준수 at 92/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.

보안 점수: 0/100 (weak)
유지보수: 0/100 — 유지보수 활동 저조
Compliance: 92/100 — covers 47 of 52 관할권s
Documentation: 0/100 — 제한된 문서화
Popularity: 0/100 — 10,542 스타 수: github

Doccano은(는) 무엇이며 누가 관리하나요?

개발자Unknown
카테고리AI tool
스타10,542
출처https://github.com/doccano/doccano

규정 준수

EU AI Act Risk ClassNot assessed
Compliance Score92/100
JurisdictionsAssessed across 52 관할권s

AI tool의 인기 대안

openclaw/openclaw
84.3/100 · A
github
AUTOMATIC1111/stable-diffusion-webui
69.3/100 · C
github
f/prompts.chat
69.3/100 · C
github
microsoft/generative-ai-for-beginners
71.8/100 · B
github
Comfy-Org/ComfyUI
71.8/100 · B
github

What Is Doccano?

Doccano is a software tool in the AI tool category: Open source annotation tool for machine learning practitioners.. It has 10,542 GitHub stars. Nerq 신뢰 점수: 72/100 (B).

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 Doccano's Safety

Nerq's 신뢰 점수 is calculated from 13+ independent signals aggregated into five 차원. Here is how Doccano performs in each:

The overall 신뢰 점수 of 71.8/100 (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 Doccano?

Doccano is designed for:

Risk guidance: Doccano meets the minimum threshold for production use, but we recommend monitoring for 보안 advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.

How to Verify Doccano's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — 다음을 검토하세요: repository's 보안 policy, open issues, and recent commits for signs of active 유지보수.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Doccano's dependency tree.
  3. 리뷰 permissions — Understand what access Doccano requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Doccano in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=doccano/doccano
  6. 다음을 검토하세요: license — Confirm that Doccano'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.
  7. 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 Doccano

When evaluating whether Doccano is safe, consider these category-specific risks:

Data handling

Understand how Doccano processes, stores, and transmits your data. 다음을 검토하세요: tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency 보안

Check Doccano's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 보안 risk.

Update frequency

Regularly check for updates to Doccano. 보안 patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Doccano 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.

License and IP 규정 준수

Verify that Doccano's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Doccano in violation of its license can expose your organization to legal liability.

Best Practices for Using Doccano Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Doccano while minimizing risk:

Conduct regular audits

Periodically review how Doccano is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.

Keep dependencies updated

Ensure Doccano and all its dependencies are running the latest stable versions to benefit from 보안 patches.

Follow least privilege

Grant Doccano only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for 보안 advisories

Subscribe to Doccano's 보안 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Doccano is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Doccano?

Even well-trusted tools aren't right for every situation. Consider avoiding Doccano in these scenarios:

For each scenario, evaluate whether Doccano의 신뢰 점수 71.8/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Doccano Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among AI tool tools, the average 신뢰 점수 is 62/100. Doccano's score of 71.8/100 is above the category average of 62/100.

This positions Doccano favorably among AI tool 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.

신뢰 점수 History

Nerq continuously monitors Doccano and recalculates its 신뢰 점수 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, Doccano'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 Doccano's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=doccano/doccano&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 Doccano are strengthening or weakening over time.

Doccano vs 대안

In the AI tool category, Doccano의 점수는 71.8/100입니다. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Doccano은(는) 사용하기에 안전한가요?
네, 사용하기에 안전합니다. doccano/doccano 의 Nerq 신뢰 점수는 71.8/100 (B). 가장 강력한 신호: 규정 준수 (92/100). 점수 기반: 보안 (0/100), 유지보수 (0/100), 인기도 (0/100), 문서화 (0/100).
Doccano's trust score이(가) 무엇인가요?
doccano/doccano: 71.8/100 (B). 점수 기반:: 보안 (0/100), 유지보수 (0/100), 인기도 (0/100), 문서화 (0/100). Compliance: 92/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=doccano/doccano
Doccano의 더 안전한 대안은 무엇인가요?
In the AI tool category, 더 높은 평가를 받은 대안으로는 openclaw/openclaw (84/100), AUTOMATIC1111/stable-diffusion-webui (69/100), f/prompts.chat (69/100). doccano/doccano의 점수는 71.8/100입니다.
How often is Doccano's safety score updated?
Nerq continuously monitors Doccano and updates its trust score as new data becomes available. 데이터 출처: multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 71.8/100 (B), last 인증됨 2026-04-02. API: GET nerq.ai/v1/preflight?target=doccano/doccano
Doccano을(를) 규제 환경에서 사용할 수 있나요?
Yes — Doccano meets the Nerq Verified threshold (70+). Combine this with your internal 보안 review for regulated deployments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.

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