क्या Dagain सुरक्षित है?

Dagain — Nerq Trust Score 63.5/100 (C ग्रेड). 5 विश्वास आयामों के विश्लेषण के आधार पर, इसे आम तौर पर सुरक्षित लेकिन कुछ चिंताएं हैं माना जाता है। अंतिम अपडेट: 2026-04-05।

Dagain का उपयोग सावधानी से करें। Dagain एक software tool है Nerq विश्वास स्कोर के साथ 63.5/100 (C), based on 5 स्वतंत्र डेटा आयाम. Nerq सत्यापित सीमा से नीचे सुरक्षा: 0/100. रखरखाव: 1/100. लोकप्रियता: 0/100. डेटा स्रोत: पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. अंतिम अपडेट: 2026-04-05. मशीन पठनीय डेटा (JSON).

क्या Dagain सुरक्षित है?

CAUTION — Dagain has a Nerq Trust Score of 63.5/100 (C). मध्यम विश्वास संकेत हैं, लेकिन कुछ चिंताजनक क्षेत्र भी हैं that warrant attention. Suitable for development use — review सुरक्षा and रखरखाव signals before production deployment.

सुरक्षा विश्लेषण → Dagain गोपनीयता रिपोर्ट →

Dagain का विश्वास स्कोर क्या है?

Dagain का Nerq Trust Score 63.5/100 है, ग्रेड C। यह स्कोर सुरक्षा, रखरखाव और सामुदायिक अपनाने सहित 5 स्वतंत्र रूप से मापे गए आयामों पर आधारित है।

सुरक्षा
0
अनुपालन
100
रखरखाव
1
दस्तावेज़ीकरण
1
लोकप्रियता
0

Dagain के प्रमुख सुरक्षा निष्कर्ष क्या हैं?

Dagain का सबसे मजबूत संकेत अनुपालन है 100/100 पर। कोई ज्ञात भेद्यता नहीं पाई गई। It has not yet reached the Nerq Verified threshold of 70+.

सुरक्षा स्कोर: 0/100 (कमजोर)
रखरखाव: 1/100 — कम रखरखाव गतिविधि
अनुपालन: 100/100 — covers 52 of 52 jurisdictions
दस्तावेज़ीकरण: 1/100 — सीमित प्रलेखन
लोकप्रियता: 0/100 — 7 स्टार्स github

Dagain क्या है और इसका रखरखाव कौन करता है?

डेवलपरknot0-com
श्रेणीDevops
स्टार्स7
स्रोतhttps://github.com/knot0-com/dagain
Frameworksanthropic

नियामक अनुपालन

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

devops में लोकप्रिय विकल्प

ansible/ansible
84.3/100 · A
github
FlowiseAI/Flowise
76.9/100 · B
github
shareAI-lab/learn-claude-code
81.5/100 · A
github
continuedev/continue
84.4/100 · A
github
wshobson/agents
88.7/100 · A
github

What Is Dagain?

Dagain is a DevOps tool: DAG-based orchestration CLI for coding agents. It has 7 GitHub stars. Nerq Trust Score: 64/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including सुरक्षा vulnerabilities, रखरखाव activity, license अनुपालन, and सामुदायिक स्वीकृति.

How Nerq Assesses Dagain's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five आयाम. Here is how Dagain performs in each:

The overall Trust Score of 63.5/100 (C) 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 Dagain?

Dagain is designed for:

Risk guidance: Dagain is suitable for development and testing environments. Before production deployment, conduct a thorough review of its सुरक्षा posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Dagain's Safety Yourself

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

  1. Check the source code — जांचें repository's सुरक्षा policy, open issues, and recent commits for signs of active रखरखाव.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Dagain's dependency tree.
  3. समीक्षा permissions — Understand what access Dagain requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Dagain 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=dagain
  6. जांचें license — Confirm that Dagain'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 सुरक्षा concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Dagain

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

Data handling

Understand how Dagain processes, stores, and transmits your data. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency सुरक्षा

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

Update frequency

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

Third-party integrations

If Dagain 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 अनुपालन

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

Dagain and the EU AI Act

Dagain 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 अनुपालन assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal अनुपालन.

Best Practices for Using Dagain Safely

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

Conduct regular audits

Periodically review how Dagain is used in your workflow. Check for unexpected behavior, permissions drift, and अनुपालन with your सुरक्षा policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for सुरक्षा advisories

Subscribe to Dagain's सुरक्षा 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 Dagain is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Dagain?

Even promising tools aren't right for every situation. Consider avoiding Dagain in these scenarios:

For each scenario, evaluate whether Dagain's trust score of 63.5/100 meets your organization's risk tolerance. We recommend running a manual सुरक्षा assessment alongside the automated Nerq score.

How Dagain 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. Dagain's score of 63.5/100 is above the category average of 63/100.

This positions Dagain favorably among DevOps tools. While it outperforms the average, there is still room for improvement in certain trust आयाम.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks मध्यम 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 Dagain 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 रखरखाव patterns change, Dagain'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 सुरक्षा and quality. Conversely, a downward trend may signal reduced रखरखाव, growing technical debt, or unresolved vulnerabilities. To track Dagain's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=dagain&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 — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, and community — has evolved independently, providing granular visibility into which aspects of Dagain are strengthening or weakening over time.

Dagain vs विकल्प

In the devops category, Dagain scores 63.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

मुख्य निष्कर्ष

अक्सर पूछे जाने वाले प्रश्न

क्या Dagain सुरक्षित है?
सावधानी से उपयोग करें। dagain Nerq विश्वास स्कोर के साथ 63.5/100 (C). सबसे मजबूत संकेत: अनुपालन (100/100). स्कोर आधारित सुरक्षा (0/100), रखरखाव (1/100), लोकप्रियता (0/100), दस्तावेज़ीकरण (1/100).
Dagain का विश्वास स्कोर क्या है?
dagain: 63.5/100 (C). स्कोर आधारित सुरक्षा (0/100), रखरखाव (1/100), लोकप्रियता (0/100), दस्तावेज़ीकरण (1/100). Compliance: 100/100. नया डेटा उपलब्ध होने पर स्कोर अपडेट होते हैं. API: GET nerq.ai/v1/preflight?target=dagain
What are safer alternatives to Dagain?
Devops श्रेणी में, higher-rated alternatives include ansible/ansible (84/100), FlowiseAI/Flowise (77/100), shareAI-lab/learn-claude-code (82/100). dagain scores 63.5/100.
How often is Dagain's safety score updated?
Nerq continuously monitors Dagain and updates its trust score as new data becomes available. डेटा स्रोत: पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. Current: 63.5/100 (C), last सत्यापित 2026-04-05. API: GET nerq.ai/v1/preflight?target=dagain
Can I use Dagain in a regulated environment?
Dagain has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

यह भी देखें

Disclaimer: Nerq विश्वास स्कोर सार्वजनिक रूप से उपलब्ध संकेतों पर आधारित स्वचालित मूल्यांकन हैं। ये सिफारिश या गारंटी नहीं हैं। हमेशा अपना स्वयं का सत्यापन करें।

हम विश्लेषण और कैशिंग के लिए कुकीज़ का उपयोग करते हैं। गोपनीयता