Datastoria은(는) 안전한가요?
Datastoria — Nerq 신뢰 점수 75.6/100 (B 등급). 5개의 신뢰 차원 분석 결과, 대체로 안전하지만 일부 우려 사항이 있음으로 평가됩니다. 마지막 업데이트: 2026-04-03.
네, Datastoria은(는) 사용하기에 안전합니다. Datastoria is a software tool Nerq 신뢰 점수 75.6/100 (B), based on 5 독립적인 데이터 차원. It is recommended for use. 보안: 1/100. 유지보수: 1/100. Popularity: 1/100. 데이터 출처: multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. 최종 업데이트: 2026-04-03. 기계 판독 가능 데이터 (JSON).
Datastoria은(는) 안전한가요?
예 — Datastoria 의 Nerq 신뢰 점수는 75.6/100 (B). 보안, 유지보수 및 커뮤니티 채택에서 강력한 신호로 Nerq 신뢰 기준을 충족합니다. Recommended for use — 구체적인 사항은 아래 전체 보고서를 참조하세요.
Datastoria의 신뢰 점수는?
Datastoria 의 Nerq 신뢰 점수는 75.6/100, earning a B grade. This score is based on 5 independently measured 차원 including 보안, 유지보수, and 커뮤니티 채택.
Datastoria의 주요 보안 발견 사항은?
Datastoria's strongest signal is 규정 준수 at 87/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
Datastoria은(는) 무엇이며 누가 관리하나요?
| 개발자 | FrankChen021 |
| 카테고리 | data |
| 스타 | 304 |
| 출처 | https://github.com/FrankChen021/datastoria |
| Frameworks | openai · anthropic |
| Protocols | rest |
규정 준수
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 관할권s |
data의 인기 대안
What Is Datastoria?
Datastoria is a software tool in the data category: A modern, AI-powered ClickHouse management console for cluster diagnostics and intelligent visualization.. It has 304 GitHub stars. Nerq 신뢰 점수: 76/100 (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 Datastoria's Safety
Nerq's 신뢰 점수 is calculated from 13+ independent signals aggregated into five 차원. Here is how Datastoria performs in each:
- 보안 (1/100): Datastoria's 보안 posture is poor. This score factors in known CVEs, dependency vulnerabilities, 보안 policy presence, and code signing practices.
- 유지보수 (1/100): Datastoria 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 (87/100): Datastoria 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 신뢰 점수 of 75.6/100 (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 Datastoria?
Datastoria 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: Datastoria 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 Datastoria'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 Datastoria's dependency tree. - 리뷰 permissions — Understand what access Datastoria requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Datastoria 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=datastoria - 다음을 검토하세요: license — Confirm that Datastoria'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 Datastoria
When evaluating whether Datastoria is safe, consider these category-specific risks:
Understand how Datastoria processes, stores, and transmits your data. 다음을 검토하세요: tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Datastoria's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 보안 risk.
Regularly check for updates to Datastoria. 보안 patches and bug fixes are only effective if you're running the latest version.
If Datastoria 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 Datastoria's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Datastoria in violation of its license can expose your organization to legal liability.
Datastoria and the EU AI Act
Datastoria 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 Datastoria Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Datastoria while minimizing risk:
Periodically review how Datastoria is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.
Ensure Datastoria and all its dependencies are running the latest stable versions to benefit from 보안 patches.
Grant Datastoria only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Datastoria's 보안 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Datastoria is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Datastoria?
Even well-trusted tools aren't right for every situation. Consider avoiding Datastoria in these scenarios:
- Scenarios where Datastoria's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive 보안 updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Datastoria의 신뢰 점수 75.6/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Datastoria Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average 신뢰 점수 is 62/100. Datastoria's score of 75.6/100 is significantly above the category average of 62/100.
This places Datastoria in the top tier of data tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature 보안 practices, consistent release cadence, and broad 커뮤니티 채택.
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 Datastoria 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, Datastoria'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 Datastoria's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=datastoria&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 Datastoria are strengthening or weakening over time.
Datastoria vs 대안
data 카테고리에서, Datastoria의 점수는 75.6/100입니다. It ranks among the top tools in its category. For a detailed comparison, see:
- Datastoria vs firecrawl — 신뢰 점수: 73.8/100
- Datastoria vs MinerU — 신뢰 점수: 84.6/100
- Datastoria vs mindsdb — 신뢰 점수: 77.5/100
주요 요점
- Datastoria has a 신뢰 점수 of 75.6/100 (B) and is Nerq Verified.
- Datastoria meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among data tools, Datastoria 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.
자주 묻는 질문
Datastoria은(는) 사용하기에 안전한가요?
Datastoria's trust score이(가) 무엇인가요?
Datastoria의 더 안전한 대안은 무엇인가요?
How often is Datastoria's safety score updated?
Datastoria을(를) 규제 환경에서 사용할 수 있나요?
Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.