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: 2026-04-01.
네, Doccano은(는) 사용하기에 안전합니다. Doccano is a software tool Nerq 신뢰 점수 71.8/100 (B), based on 5 independent data dimensions. It is recommended for use. Security: 0/100. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. 기계 판독 가능 데이터 (JSON).
Doccano은(는) 안전한가요?
예 — 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.
Doccano의 신뢰 점수는?
Doccano 의 Nerq 신뢰 점수는 71.8/100, earning a B grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
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+.
Doccano은(는) 무엇이며 누가 관리하나요?
| 개발자 | Unknown |
| 카테고리 | AI tool |
| 스타 | 10,542 |
| 출처 | https://github.com/doccano/doccano |
규정 준수
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 92/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
AI tool의 인기 대안
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 security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Doccano's Safety
Nerq's 신뢰 점수 is calculated from 13+ independent signals aggregated into five dimensions. Here is how Doccano performs in each:
- 보안 (0/100): Doccano's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- 유지보수 (0/100): Doccano is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (92/100): Doccano is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
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:
- Developers and teams working with AI tool tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Doccano meets the minimum threshold for production use, but we recommend monitoring for security 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:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Doccano's dependency tree. - 리뷰 permissions — Understand what access Doccano requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Doccano 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=doccano/doccano - 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.
- 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 security 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:
Understand how Doccano processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Doccano's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Doccano. Security patches and bug fixes are only effective if you're running the latest version.
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.
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:
Periodically review how Doccano is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Doccano and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Doccano only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Doccano's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
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:
- Scenarios where Doccano's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive security updates
- Projects with strict regulatory requirements that haven't been explicitly validated
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 dimensions.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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 maintenance 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 security and quality. Conversely, a downward trend may signal reduced maintenance, 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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Doccano are strengthening or weakening over time.
Doccano vs Alternatives
In the AI tool category, Doccano의 점수는 71.8/100입니다. There are higher-scoring alternatives available. For a detailed comparison, see:
- Doccano vs openclaw — 신뢰 점수: 84.3/100
- Doccano vs stable-diffusion-webui — 신뢰 점수: 69.3/100
- Doccano vs prompts.chat — 신뢰 점수: 69.3/100
주요 요점
- Doccano has a 신뢰 점수 of 71.8/100 (B) and is Nerq Verified.
- Doccano meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among AI tool tools, Doccano 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
Doccano은(는) 사용하기에 안전한가요?
Doccano's trust score이(가) 무엇인가요?
Doccano의 더 안전한 대안은 무엇인가요?
How often is Doccano's safety score updated?
Doccano을(를) 규제 환경에서 사용할 수 있나요?
Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.