Este Draggan sigur?

Draggan — Nerq Trust Score 59.6/100 (Nota D). Scor bazat pe 1 independent trust signals.

Draggan este un software tool cu un Scor de Încredere Nerq de 59.6/100 (D), based on 3 dimensiuni independente de date. Date provenite din multiple surse publice inclusiv registre de pachete, GitHub, NVD, OSV.dev și OpenSSF Scorecard. Ultima actualizare: n/a. Date citibile de mașină (JSON).

Este Draggan sigur?

Detalii scor de încredere — Draggan has a Nerq Trust Score of 59.6/100 (D). Measured across 1 independent trust signal.

Analiză de Securitate → Raport de confidențialitate Draggan →

Care este scorul de încredere al Draggan?

Draggan are un Nerq Trust Score de 59.6/100 cu nota D. Acest scor se bazează pe 1 dimensiuni măsurate independent, inclusiv securitate, întreținere și adopție comunitară.

Conformitate
100

Care sunt principalele constatări de securitate pentru Draggan?

Cel mai puternic semnal al Draggan este conformitate la 100/100. Nu au fost detectate vulnerabilități cunoscute.

⚠Conformitate: 100/100 — covers 52 of 52 jurisdictions

Ce este Draggan și cine îl întreține?

AutorDragGan
CategorieOther
Stele1,028
Sursăhttps://huggingface.co/spaces/DragGan/DragGan
Protocolshuggingface_hub

Conformitate reglementară

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

Alternative populare în other

Developer-Y/cs-video-courses
59.9/100 · D
github
binhnguyennus/awesome-scalability
59.4/100 · D
github
obra/superpowers
62.4/100 · C
github
ultralytics/yolov5
61.4/100 · C
github
deepfakes/faceswap
56.9/100 · D
github

What Is Draggan?

Draggan is a software tool in the other category with 1,028 GitHub stars. Nerq Trust Score: 60/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including securitate vulnerabilities, mentenanță activity, license conformitate, and adoptare comunitară.

How Nerq Assesses Draggan's Safety

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

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 Draggan?

Draggan is commonly evaluated by:

How to read the signals: Draggan's measured signals (the trust signals above) 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 Draggan's Safety Yourself

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

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

Common Safety Concerns with Draggan

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

Data handling

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

Dependency securitate

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

Update frequency

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

Third-party integrations

If Draggan 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 conformitate

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

Best Practices for Using Draggan Safely

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

Conduct regular audits

Periodically review how Draggan is used in your workflow. Check for unexpected behavior, permissions drift, and conformitate with your securitate policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for securitate advisories

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

Situations That Warrant Independent Review of Draggan

Nerq's signals are one input. In the following situations, evaluate Draggan's measured signals against your own requirements before making a decision:

For each situation, compare Draggan's measured trust score of 59.6/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Draggan is suitable for any particular use.

How Draggan Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among other tools, the average Trust Score is 62/100. Draggan's score of 59.6/100 is near the category average of 62/100.

This places Draggan in line with the typical other 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 moderat 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 Draggan 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 mentenanță patterns change, Draggan'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 securitate and quality. Conversely, a downward trend may signal reduced mentenanță, growing technical debt, or unresolved vulnerabilities. To track Draggan's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=DragGan&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 — securitate, mentenanță, documentație, conformitate, and community — has evolved independently, providing granular visibility into which aspects of Draggan are strengthening or weakening over time.

Draggan vs Alternative

In the other category, Draggan scores 59.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Concluzii principale

Întrebări frecvente

Este Draggan sigur?
DragGan cu un Scor de Încredere Nerq de 59.6/100 (D). Cel mai puternic semnal: conformitate (100/100). Scor bazat pe multiple trust dimensiuni.
Care este scorul de încredere al Draggan?
DragGan: 59.6/100 (D). Scor bazat pe multiple trust dimensiuni. Compliance: 100/100. Scorurile se actualizează când devin disponibile date noi. API: GET nerq.ai/v1/preflight?target=DragGan
Care sunt alternative mai sigure la Draggan?
În categoria Other, higher-rated alternatives include Developer-Y/cs-video-courses (60/100), binhnguyennus/awesome-scalability (59/100), obra/superpowers (62/100). DragGan scores 59.6/100.
Cât de des este actualizat scorul de securitate al Draggan?
Nerq recomputes Draggan's trust score as new data becomes available. Current: 59.6/100 (D). API: GET nerq.ai/v1/preflight?target=DragGan
Pot folosi Draggan într-un mediu reglementat?
Draggan: 59.6/100 (D). Compliance: 52 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Vezi și

Disclaimer: Scorurile de încredere Nerq sunt evaluări automatizate bazate pe semnale disponibile public. Nu sunt recomandări sau garanții. Efectuați întotdeauna propria verificare.

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