Viban è sicuro?

Viban — Nerq Trust Score 42.5/100 (Grado E). Punteggio basato su 3 independent trust signals.

Viban è un software tool con un Punteggio di fiducia Nerq di 42.5/100 (E), based on 3 dimensioni di dati indipendenti. Manutenzione: 0/100. Popolarità: 0/100. Dati provenienti da molteplici fonti pubbliche tra cui registri di pacchetti, GitHub, NVD, OSV.dev e OpenSSF Scorecard. Ultimo aggiornamento: n/a. Dati leggibili dalle macchine (JSON).

Viban è sicuro?

Dettagli punteggio di fiducia — Viban has a Nerq Trust Score of 42.5/100 (E). Measured across 3 independent trust signals.

Analisi di Sicurezza → Report sulla privacy di Viban →

Qual è il punteggio di fiducia di Viban?

Viban ha un Nerq Trust Score di 42.5/100 con voto E. Questo punteggio si basa su 3 dimensioni misurate indipendentemente, tra cui sicurezza, manutenzione e adozione della community.

Manutenzione
0
Documentazione
0
Popolarità
0

Quali sono i risultati di sicurezza chiave per Viban?

Il segnale più forte di Viban è manutenzione a 0/100. Non sono state rilevate vulnerabilità note.

Manutenzione: 0/100 — bassa attività di manutenzione
Documentazione: 0/100 — documentazione limitata
Popolarità: 0/100 — 4 stelle su pulsemcp

Cos'è Viban e chi lo mantiene?

Autorehttps://github.com/sebastianreinig/viban
CategoriaProductivity
Stelle4
Fontehttps://github.com/sebastianreinig/viban

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What Is Viban?

Viban is a software tool in the productivity category: File-based Kanban board for task management via natural language.. It has 4 GitHub stars. Nerq Trust Score: 42/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sicurezza vulnerabilities, manutenzione activity, license conformità, and adozione della comunità.

How Nerq Assesses Viban's Safety

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

The overall Trust Score of 42.5/100 (E) 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 Viban?

Viban is commonly evaluated by:

How to read the signals: Viban's measured signals (manutenzione 0/100, documentazione 0/100, community 0/100) 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 Viban's Safety Yourself

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

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

Common Safety Concerns with Viban

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

Data handling

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

Dependency sicurezza

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

Update frequency

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

Third-party integrations

If Viban 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 conformità

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

Best Practices for Using Viban Safely

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

Conduct regular audits

Periodically review how Viban is used in your workflow. Check for unexpected behavior, permissions drift, and conformità with your sicurezza policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for sicurezza advisories

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

Situations That Warrant Independent Review of Viban

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

For each situation, compare Viban's measured trust score of 42.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Viban is suitable for any particular use.

How Viban Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among productivity tools, the average Trust Score is 62/100. Viban's score of 42.5/100 is below the category average of 62/100.

This suggests that Viban trails behind many comparable productivity tools. Organizations with strict sicurezza 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 moderato 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 Viban 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 manutenzione patterns change, Viban'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 sicurezza and quality. Conversely, a downward trend may signal reduced manutenzione, growing technical debt, or unresolved vulnerabilities. To track Viban's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Viban&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 — sicurezza, manutenzione, documentazione, conformità, and community — has evolved independently, providing granular visibility into which aspects of Viban are strengthening or weakening over time.

Viban vs Alternative

In the productivity category, Viban scores 42.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Punti chiave

Domande frequenti

Viban è sicuro?
Viban con un Punteggio di fiducia Nerq di 42.5/100 (E). Segnale più forte: manutenzione (0/100). Punteggio basato su Manutenzione (0/100), Popolarità (0/100), Documentazione (0/100).
Qual è il punteggio di fiducia di Viban?
Viban: 42.5/100 (E). Punteggio basato su Manutenzione (0/100), Popolarità (0/100), Documentazione (0/100). I punteggi si aggiornano quando nuovi dati diventano disponibili. API: GET nerq.ai/v1/preflight?target=Viban
Quali sono alternative più sicure a Viban?
Nella categoria Productivity, higher-rated alternatives include CherryHQ/cherry-studio (62/100), ToolJet/ToolJet (67/100), PostHog/posthog (61/100). Viban scores 42.5/100.
Con che frequenza viene aggiornato il punteggio di Viban?
Nerq recomputes Viban's trust score as new data becomes available. Current: 42.5/100 (E). API: GET nerq.ai/v1/preflight?target=Viban
Posso usare Viban in un ambiente regolamentato?
Viban: 42.5/100 (E). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Vedi anche

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.

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