Is Data Analysis Agent Scaledown veilig?
Data Analysis Agent Scaledown — Nerq Trust Score 48.7/100 (D-beoordeling). Score gebaseerd op 5 independent trust signals.
Data Analysis Agent Scaledown is een software tool met een Nerq Vertrouwensscore van 48.7/100 (D), based on 5 onafhankelijke gegevensdimensies. Beveiliging: 0/100. Onderhoud: 1/100. Populariteit: 0/100. Gegevens afkomstig van meerdere openbare bronnen waaronder pakketregisters, GitHub, NVD, OSV.dev en OpenSSF Scorecard. Laatst bijgewerkt: n/a. Machineleesbare gegevens (JSON).
Is Data Analysis Agent Scaledown veilig?
Vertrouwensscore details — Data Analysis Agent Scaledown has a Nerq Trust Score of 48.7/100 (D). Measured across 5 independent trust signals.
Wat is de vertrouwensscore van Data Analysis Agent Scaledown?
Data Analysis Agent Scaledown heeft een Nerq Trust Score van 48.7/100 met het cijfer D. Deze score is gebaseerd op 5 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.
Wat zijn de belangrijkste beveiligingsbevindingen voor Data Analysis Agent Scaledown?
Het sterkste signaal van Data Analysis Agent Scaledown is naleving met 100/100. Er zijn geen bekende kwetsbaarheden gedetecteerd.
Wat is Data Analysis Agent Scaledown en wie onderhoudt het?
| Ontwikkelaar | nyxarf |
| Categorie | Data |
| Bron | https://github.com/nyxarf/data-analysis-agent-scaledown |
| Frameworks | openai |
| Protocols | rest |
Naleving van regelgeving
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdicties |
Populaire alternatieven in data
What Is Data Analysis Agent Scaledown?
Data Analysis Agent Scaledown is a software tool in the data category: AI Data Analysis Agent with compressed context using ScaleDown for automated EDA.. Nerq Trust Score: 49/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.
How Nerq Assesses Data Analysis Agent Scaledown's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensies. Here is how Data Analysis Agent Scaledown performs in each:
- Beveiliging (0/100): Data Analysis Agent Scaledown's beveiliging posture is poor. This score factors in known CVEs, dependency vulnerabilities, beveiliging policy presence, and code signing practices.
- Onderhoud (1/100): Data Analysis Agent Scaledown is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentatie, usage examples, and contribution guidelines.
- Compliance (100/100): Data Analysis Agent Scaledown is broadly compliant. Assessed against regulations in 52 jurisdicties including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Gebaseerd op GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 48.7/100 (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 Data Analysis Agent Scaledown?
Data Analysis Agent Scaledown is commonly evaluated by:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Data Analysis Agent Scaledown's measured signals (beveiliging 0/100, onderhoud 1/100, documentatie 1/100, 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 Data Analysis Agent Scaledown's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Bekijk de repository's beveiliging policy, open issues, and recent commits for signs of active onderhoud.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Data Analysis Agent Scaledown's dependency tree. - Beoordeling permissions — Understand what access Data Analysis Agent Scaledown requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Data Analysis Agent Scaledown 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=data-analysis-agent-scaledown - Bekijk de license — Confirm that Data Analysis Agent Scaledown'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 beveiliging concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Data Analysis Agent Scaledown
When evaluating whether Data Analysis Agent Scaledown is safe, consider these category-specific risks:
Understand how Data Analysis Agent Scaledown processes, stores, and transmits your data. Bekijk de tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Data Analysis Agent Scaledown's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher beveiliging risk.
Regularly check for updates to Data Analysis Agent Scaledown. Beveiliging patches and bug fixes are only effective if you're running the latest version.
If Data Analysis Agent Scaledown 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 Data Analysis Agent Scaledown's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Data Analysis Agent Scaledown in violation of its license can expose your organization to legal liability.
Data Analysis Agent Scaledown and the EU AI Act
Data Analysis Agent Scaledown 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 naleving assessment covers 52 jurisdicties worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal naleving.
Best Practices for Using Data Analysis Agent Scaledown Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Data Analysis Agent Scaledown while minimizing risk:
Periodically review how Data Analysis Agent Scaledown is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.
Ensure Data Analysis Agent Scaledown and all its dependencies are running the latest stable versions to benefit from beveiliging patches.
Grant Data Analysis Agent Scaledown only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Data Analysis Agent Scaledown's beveiliging advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Data Analysis Agent Scaledown is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Data Analysis Agent Scaledown
Nerq's signals are one input. In the following situations, evaluate Data Analysis Agent Scaledown's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Data Analysis Agent Scaledown's measured trust score of 48.7/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Data Analysis Agent Scaledown is suitable for any particular use.
How Data Analysis Agent Scaledown Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Trust Score is 62/100. Data Analysis Agent Scaledown's score of 48.7/100 is below the category average of 62/100.
This suggests that Data Analysis Agent Scaledown trails behind many comparable data tools. Organizations with strict beveiliging 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 matig 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 Data Analysis Agent Scaledown 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 onderhoud patterns change, Data Analysis Agent Scaledown'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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, growing technical debt, or unresolved vulnerabilities. To track Data Analysis Agent Scaledown's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=data-analysis-agent-scaledown&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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Data Analysis Agent Scaledown are strengthening or weakening over time.
Data Analysis Agent Scaledown vs Alternatieven
In the data category, Data Analysis Agent Scaledown scores 48.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Data Analysis Agent Scaledown vs firecrawl — Trust Score: 64.4/100
- Data Analysis Agent Scaledown vs MinerU — Trust Score: 76.6/100
- Data Analysis Agent Scaledown vs mindsdb — Trust Score: 68.1/100
Belangrijkste conclusies
- Data Analysis Agent Scaledown has a measured Nerq Trust Score of 48.7/100 (D) — a composite of independent signals, not a suitability judgment.
- Among data tools, Data Analysis Agent Scaledown scores below the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — beveiliging, onderhoud, documentatie, naleving, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Veelgestelde vragen
Is Data Analysis Agent Scaledown veilig?
Wat is de vertrouwensscore van Data Analysis Agent Scaledown?
Wat zijn veiligere alternatieven voor Data Analysis Agent Scaledown?
Hoe vaak wordt de beveiligingsscore van Data Analysis Agent Scaledown bijgewerkt?
Kan ik Data Analysis Agent Scaledown gebruiken in een gereguleerde omgeving?
Zie ook
Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.