هل Hiveflow آمن؟
Hiveflow — Nerq Trust Score 38.9/100 (الدرجة E). بناءً على تحليل 3 أبعاد للثقة، يُعتبر لديه مخاطر أمنية كبيرة. آخر تحديث: 2026-04-01.
توخَّ الحذر مع Hiveflow. Hiveflow is a software tool with a Nerq Trust Score of 38.9/100 (E), based on 3 independent data dimensions. It is below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. البيانات مصدرها قراءة آلية.
هل Hiveflow آمن؟
NO — USE WITH CAUTION — Hiveflow has a Nerq Trust Score of 38.9/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
ما هي درجة ثقة Hiveflow؟
حصل Hiveflow على درجة ثقة Nerq تبلغ 38.9/100 بدرجة E. يعتمد هذا التقييم على 3 أبعاد مُقاسة بشكل مستقل.
ما هي النتائج الأمنية الرئيسية لـ Hiveflow؟
أقوى إشارة لـ Hiveflow هي الصيانة بدرجة 0/100. لم يتم اكتشاف أي ثغرات أمنية معروفة. لم يصل بعد إلى عتبة التحقق من Nerq البالغة 70+.
ما هو Hiveflow ومن يديره؟
| المؤلف | https://github.com/hiveflowai/hiveflow-mcp-server |
| الفئة | devops |
| النجوم | 4 |
| المصدر | https://github.com/hiveflowai/hiveflow-mcp-server |
بدائل شائعة في devops
What Is Hiveflow?
Hiveflow is a DevOps tool: HiveFlow integrates with HiveFlow's workflow automation platform for conversational interaction-based process management.. It has 4 GitHub stars. Nerq Trust Score: 39/100 (E).
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 Hiveflow's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Hiveflow performs in each:
- Maintenance (0/100): Hiveflow 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.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 38.9/100 (E) 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 Hiveflow?
Hiveflow is designed for:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Hiveflow. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Hiveflow'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 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 Hiveflow's dependency tree. - Review permissions — Understand what access Hiveflow requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Hiveflow 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=HiveFlow - Review the license — Confirm that Hiveflow'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 Hiveflow
When evaluating whether Hiveflow is safe, consider these category-specific risks:
Understand how Hiveflow processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Hiveflow's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Hiveflow. Security patches and bug fixes are only effective if you're running the latest version.
If Hiveflow 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 Hiveflow's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Hiveflow in violation of its license can expose your organization to legal liability.
Best Practices for Using Hiveflow Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Hiveflow while minimizing risk:
Periodically review how Hiveflow is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Hiveflow and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Hiveflow only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Hiveflow's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Hiveflow is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Hiveflow?
Even promising tools aren't right for every situation. Consider avoiding Hiveflow in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Hiveflow's trust score of 38.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Hiveflow Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Hiveflow's score of 38.9/100 is below the category average of 63/100.
This suggests that Hiveflow trails behind many comparable DevOps tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.
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.
درجة الثقة History
Nerq continuously monitors Hiveflow 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 maintenance patterns change, Hiveflow'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 Hiveflow's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=HiveFlow&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 Hiveflow are strengthening or weakening over time.
Hiveflow vs Alternatives
In the devops category, Hiveflow scores 38.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Hiveflow vs ansible — Trust Score: 84.3/100
- Hiveflow vs Flowise — Trust Score: 76.9/100
- Hiveflow vs learn-claude-code — Trust Score: 81.5/100
Key Takeaways
- Hiveflow has a Trust Score of 38.9/100 (E) and is not yet Nerq Verified.
- Hiveflow has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among DevOps tools, Hiveflow scores below the category average of 63/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
الأسئلة الشائعة
Is Hiveflow safe to use?
ما هو Hiveflow's trust score?
What are safer alternatives to Hiveflow?
How often is Hiveflow's safety score updated?
Can I use Hiveflow in a regulated environment?
Disclaimer: درجات ثقة Nerq هي تقييمات آلية مبنية على إشارات متاحة للعموم. وهي ليست توصيات أو ضمانات. قم دائمًا بإجراء العناية الواجبة الخاصة بك.