53Aihub은(는) 안전한가요?
53Aihub — Nerq Trust Score 59.6/100 (D 등급). 4 independent trust signals 기반 점수.
53Aihub 은(는) software tool입니다 Nerq 신뢰 점수 59.6/100 (D), 4개의 독립적으로 측정된 데이터 차원 기반. 유지보수: 0/100. 인기도: 1/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: n/a. 기계 판독 가능 데이터 (JSON).
53Aihub은(는) 안전한가요?
신뢰 점수 세부 정보 — 53Aihub has a Nerq Trust Score of 59.6/100 (D). Measured across 4 independent trust signals.
53Aihub의 신뢰 점수는?
53Aihub의 Nerq 신뢰 점수는 59.6/100이며 D 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 4개의 독립적으로 측정된 차원을 기반으로 합니다.
53Aihub의 주요 보안 발견 사항은?
53Aihub의 가장 강한 신호는 규정 준수이며 100/100입니다. 알려진 취약점이 감지되지 않았습니다.
53Aihub은(는) 무엇이며 누가 관리하나요?
| 개발자 | 53AI |
| 카테고리 | 인프라 |
| 스타 | 9,146 |
| 출처 | https://github.com/53AI/53AIHub |
| Protocols | mcp |
규정 준수
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 관할권s |
infrastructure의 인기 대안
What Is 53Aihub?
53Aihub is a software tool in the infrastructure category: 53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.. It has 9,146 GitHub stars. Nerq Trust Score: 60/100 (D).
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 53Aihub's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 차원. Here is how 53Aihub performs in each:
- 유지보수 (0/100): 53Aihub 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 문서화, usage examples, and contribution guidelines.
- Compliance (100/100): 53Aihub is broadly compliant. Assessed against regulations in 52 관할권s including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. 기반: GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 59.6/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates 53Aihub?
53Aihub is commonly evaluated by:
- Developers and teams working with infrastructure tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: 53Aihub's measured signals (유지보수 0/100, 문서화 0/100, community 1/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify 53Aihub'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 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 53Aihub's dependency tree. - 리뷰 permissions — Understand what access 53Aihub requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run 53Aihub 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=53AIHub - 다음을 검토하세요: license — Confirm that 53Aihub'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 53Aihub
When evaluating whether 53Aihub is safe, consider these category-specific risks:
Understand how 53Aihub processes, stores, and transmits your data. 다음을 검토하세요: tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check 53Aihub's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 보안 risk.
Regularly check for updates to 53Aihub. 보안 patches and bug fixes are only effective if you're running the latest version.
If 53Aihub 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 53Aihub's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using 53Aihub in violation of its license can expose your organization to legal liability.
Best Practices for Using 53Aihub Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from 53Aihub while minimizing risk:
Periodically review how 53Aihub is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.
Ensure 53Aihub and all its dependencies are running the latest stable versions to benefit from 보안 patches.
Grant 53Aihub only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to 53Aihub's 보안 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how 53Aihub is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant 독립적 Review of 53Aihub
Nerq's signals are one input. In the following situations, evaluate 53Aihub's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare 53Aihub's measured trust score of 59.6/100 and its individual signals against your organization's own criteria. Nerq does not assert whether 53Aihub is suitable for any particular use.
How 53Aihub Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. 53Aihub's score of 59.6/100 is near the category average of 62/100.
This places 53Aihub in line with the typical infrastructure tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
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 53Aihub 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, 53Aihub'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 53Aihub's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=53AIHub&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 53Aihub are strengthening or weakening over time.
53Aihub vs 대안
In the infrastructure category, 53Aihub scores 59.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- 53Aihub vs n8n — Trust Score: 69.1/100
- 53Aihub vs langflow — Trust Score: 77.0/100
- 53Aihub vs dify — Trust Score: 69.7/100
주요 요점
- 53Aihub has a measured Nerq Trust Score of 59.6/100 (D) — a composite of independent signals, not a suitability judgment.
- Among infrastructure tools, 53Aihub scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — 보안, 유지보수, 문서화, 규정 준수, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
자주 묻는 질문
53Aihub은(는) 안전한가요?
53Aihub의 신뢰 점수는?
53Aihub의 더 안전한 대안은?
53Aihub의 보안 점수는 얼마나 자주 업데이트되나요?
규제 환경에서 53Aihub을 사용할 수 있나요?
참고 항목
Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.