Dokploy è sicuro?
Dokploy — Nerq Punteggio di fiducia 45.1/100 (Grado D). Sulla base dell'analisi di 3 dimensioni di fiducia, è ha preoccupazioni di sicurezza notevoli. Ultimo aggiornamento: 2026-03-31.
Fai attenzione con Dokploy. Dokploy is a software tool con un Punteggio di fiducia Nerq di 45.1/100 (D), based on 3 independent data dimensions. È al di sotto della soglia raccomandata di 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Dati leggibili dalle macchine (JSON).
Dokploy è sicuro?
NO — USA CON CAUTELA — Dokploy ha un Punteggio di fiducia Nerq di 45.1/100 (D). Ha segnali di fiducia inferiori alla media con lacune significative in sicurezza, manutenzione o documentazione. Non raccomandato per uso in produzione senza una revisione manuale accurata e misure di sicurezza aggiuntive.
Qual è il punteggio di fiducia di Dokploy?
Dokploy ha un Punteggio di fiducia Nerq di 45.1/100, earning a D grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.
Quali sono i risultati di sicurezza chiave per Dokploy?
Dokploy's strongest signal is manutenzione at 0/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Cos'è Dokploy e chi lo mantiene?
| Autore | https://github.com/andradehenrique/dokploy-mcp |
| Categoria | devops |
| Stelle | 17 |
| Fonte | https://github.com/andradehenrique/dokploy-mcp |
Alternative popolari in devops
What Is Dokploy?
Dokploy is a DevOps tool: Dokploy automates deployment workflows through AI interactions with the Dokploy platform API.. It has 17 GitHub stars. Nerq Punteggio di fiducia: 45/100 (D).
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 Dokploy's Safety
Nerq's Punteggio di fiducia is calculated from 13+ independent signals aggregated into five dimensions. Here is how Dokploy performs in each:
- Manutenzione (0/100): Dokploy 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 Punteggio di fiducia of 45.1/100 (D) 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 Dokploy?
Dokploy 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 Dokploy. 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 Dokploy'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 Dokploy's dependency tree. - Recensione permissions — Understand what access Dokploy requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Dokploy 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=Dokploy - Controlla license — Confirm that Dokploy'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 Dokploy
When evaluating whether Dokploy is safe, consider these category-specific risks:
Understand how Dokploy processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Dokploy's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Dokploy. Security patches and bug fixes are only effective if you're running the latest version.
If Dokploy 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 Dokploy's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Dokploy in violation of its license can expose your organization to legal liability.
Best Practices for Using Dokploy Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Dokploy while minimizing risk:
Periodically review how Dokploy is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Dokploy and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Dokploy only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Dokploy's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Dokploy is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Dokploy?
Even promising tools aren't right for every situation. Consider avoiding Dokploy 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 Dokploy pari a 45.1/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Dokploy Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Punteggio di fiducia is 63/100. Dokploy's score of 45.1/100 is below the category average of 63/100.
This suggests that Dokploy 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.
Punteggio di fiducia History
Nerq continuously monitors Dokploy and recalculates its Punteggio di fiducia 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, Dokploy'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 Dokploy's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Dokploy&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 Dokploy are strengthening or weakening over time.
Dokploy vs Alternatives
Nella categoria devops, Dokploy ottiene 45.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Dokploy vs ansible — Punteggio di fiducia: 84.3/100
- Dokploy vs Flowise — Punteggio di fiducia: 76.9/100
- Dokploy vs learn-claude-code — Punteggio di fiducia: 81.5/100
Punti chiave
- Dokploy has a Punteggio di fiducia of 45.1/100 (D) and is not yet Nerq Verified.
- Dokploy has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among DevOps tools, Dokploy 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.
Domande frequenti
Dokploy è sicuro da usare?
Cos'è Dokploy's trust score?
Quali sono le alternative più sicure a Dokploy?
How often is Dokploy's safety score updated?
Posso usare Dokploy in un ambiente regolamentato?
Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.