Är Databutton säker?
Databutton — Nerq Trust Score 58.1/100 (Betyg D). Baserat på analys av 5 tillitsdimensioner bedöms det som har anmärkningsvärda säkerhetsproblem. Senast uppdaterad: 2026-04-23.
Använd Databutton med försiktighet. Databutton är en programvara med ett Nerq-förtroendepoäng på 58.1/100 (D), baserat på 5 oberoende datadimensioner. Under Nerqs verifierade tröskel Säkerhet: 0/100. Underhåll: 0/100. Popularitet: 0/100. Data hämtad från flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard. Senast uppdaterad: 2026-04-23. Maskinläsbar data (JSON).
Är Databutton säker?
CAUTION — Databutton has a Nerq Trust Score of 58.1/100 (D). Har måttliga förtroendesignaler men uppvisar vissa oroande områden that warrant attention. Suitable for development use — review säkerhet and underhåll signals before production deployment.
Vad är Databuttons förtroendepoäng?
Databutton har ett Nerq-förtroendepoäng på 58.1/100 med betyget D. Denna poäng baseras på 5 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.
Vilka är de viktigaste säkerhetsresultaten för Databutton?
Databuttons starkaste signal är regelefterlevnad på 100/100. Inga kända sårbarheter har upptäckts. Har ännu inte nått Nerqs verifieringströskel på 70+.
Vad är Databutton och vem underhåller det?
| Utvecklare | mcp |
| Kategori | Infrastruktur |
| Stjärnor | 1 |
| Källa | https://hub.docker.com/r/mcp/databutton |
| Protocols | docker |
Regelefterlevnad
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdiktions | Assessed across 52 jurisdiktions |
Populära alternativ inom infrastructure
What Is Databutton?
Databutton is a programvara in the infrastructure category: Databutton MCP Server. It has 1 GitHub-stjärnor. Nerq Trust Score: 58/100 (D).
Nerq independently analyzes every programvara, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.
How Nerq Assesses Databutton's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Databutton performs in each:
- Säkerhet (0/100): Databutton's säkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, säkerhet policy presence, and code signing practices.
- Underhåll (0/100): Databutton 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 dokumentation, usage examples, and contribution guidelines.
- Compliance (100/100): Databutton is broadly compliant. Assessed against regulations in 52 jurisdiktions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Baserad på GitHub-stjärnor, forks, download counts, and ecosystem integrations.
The overall Trust Score of 58.1/100 (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 Databutton?
Databutton is designed for:
- Developers and teams working with infrastructure tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Databutton is suitable for development and testing environments. Before production deployment, conduct a thorough review of its säkerhet posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Databutton's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any programvara:
- Check the source code — Granska repository säkerhet policy, open issues, and recent commits for signs of active underhåll.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Databutton's dependency tree. - Recension permissions — Understand what access Databutton requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Databutton 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=databutton - Granska license — Confirm that Databutton'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 säkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Databutton
When evaluating whether Databutton is safe, consider these category-specific risks:
Understand how Databutton processes, stores, and transmits your data. Granska tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Databutton's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.
Regularly check for updates to Databutton. Säkerhet patches and bug fixes are only effective if you're running the latest version.
If Databutton 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 Databutton's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Databutton in violation of its license can expose your organization to legal liability.
Best Practices for Using Databutton Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Databutton while minimizing risk:
Periodically review how Databutton is used in your workflow. Check for unexpected behavior, permissions drift, and regelefterlevnad with your säkerhet policies.
Ensure Databutton and all its dependencies are running the latest stable versions to benefit from säkerhet patches.
Grant Databutton only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Databutton's säkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Databutton is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Databutton?
Even promising tools aren't right for every situation. Consider avoiding Databutton in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional regelefterlevnad review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Databutton's trust score of 58.1/100 meets your organization's risk tolerance. We recommend running a manual säkerhet assessment alongside the automated Nerq score.
How Databutton Compares to Industry Standards
Nerq indexes over 6 million programvaras, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Databutton's score of 58.1/100 is near the category average of 62/100.
This places Databutton in line with the typical infrastructure 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 måttlig 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 Databutton 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 underhåll patterns change, Databutton'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 säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, growing technical debt, or unresolved vulnerabilities. To track Databutton's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=databutton&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 — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Databutton are strengthening or weakening over time.
Databutton vs Alternativ
In the infrastructure category, Databutton scores 58.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Databutton vs n8n — Trust Score: 52.2/100
- Databutton vs langflow — Trust Score: 66.1/100
- Databutton vs dify — Trust Score: 65.5/100
Viktigaste slutsatser
- Databutton has a Trust Score of 58.1/100 (D) and is not yet Nerq Verified.
- Databutton shows måttlig trust signals. Conduct thorough due diligence before deploying to production environments.
- Among infrastructure tools, Databutton scores near the category average of 62/100, 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.
Detaljerad poänganalys
| Dimension | Poäng |
|---|---|
| Säkerhet | 0/100 |
| Underhåll | 0/100 |
| Popularitet | 0/100 |
Baserad på 3 dimensioner. Data från flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard.
Vilka data samlar Databutton in?
Integritet assessment for Databutton is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Är Databutton säker?
Säkerhetspoäng: 0/100. Review säkerhet practices and consider alternatives with higher säkerhet scores for sensitive use cases.
Nerq övervakar denna entitet mot NVD, OSV.dev och registerspecifika sårbarhetsdatabaser för löpande säkerhetsbedömning.
Fullständig analys: Databutton säkerhetsrapport
Så beräknade vi denna poäng
Databutton's trust score of 58.1/100 (D) beräknas utifrån flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard. Poängen speglar 3 oberoende dimensioner: säkerhet (0/100), underhåll (0/100), popularitet (0/100). Varje dimension ges lika vikt för att producera den sammansatta förtroendepoängen.
Nerq analyserar över 7,5 miljoner entiteter i 26 register med samma metodik, vilket möjliggör direkt jämförelse mellan entiteter. Poäng uppdateras löpande när ny data finns tillgänglig.
Den här sidan granskades senast April 23, 2026. Dataversion: 1.0.
Fullständig metodikdokumentation · Maskinläsbar data (JSON API)
Vanliga frågor
Är Databutton säker?
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Vilka är säkrare alternativ till Databutton?
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Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.