Er Mathvision trygt?
Mathvision — Nerq Trust Score 56.8/100 (Karakter D). Basert på analyse av 4 tillidsdimensjoner vurderes det som har merkbare sikkerhetsproblemer. Sist oppdatert: 2026-04-07.
Bruk Mathvision med forsiktighet. Mathvision er en software tool har en Nerq-tillitspoeng på 56.8/100 (D), based on 4 uavhengige datadimensjoner. Under Nerqs verifiserte terskel Vedlikehold: 0/100. Popularitet: 1/100. Data hentet fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sist oppdatert: 2026-04-07. Maskinlesbare data (JSON).
Er Mathvision trygt?
CAUTION — Mathvision har en Nerq-tillitspoeng på 56.8/100 (D). Har moderat tillitssignaler, men viser noen bekymringsområder that warrant attention. Suitable for development use — review sikkerhet and vedlikehold signals before production deployment.
Hva er tillitspoengene til Mathvision?
Mathvision har en Nerq-tillitspoeng på 56.8/100 med karakteren D. Denne poengsummen er basert på 4 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Mathvision?
Mathvisions sterkeste signal er samsvar på 79/100. Ingen kjente sårbarheter er funnet. It has not yet reached the Nerq Verified threshold of 70+.
Hva er Mathvision og hvem vedlikeholder det?
| Utvikler | MathLLMs |
| Kategori | Education |
| Stjerner | 128 |
| Kilde | https://huggingface.co/datasets/MathLLMs/MathVision |
| Protocols | huggingface_api |
Regulatorisk samsvar
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 79/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i education
What Is Mathvision?
Mathvision is a software tool in the education category: MathVision assists with math problems and provides educational support.. It has 128 GitHub stars. Nerq Trust Score: 57/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhet vulnerabilities, vedlikehold activity, license samsvar, and fellesskapsadopsjon.
How Nerq Assesses Mathvision's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Mathvision performs in each:
- Vedlikehold (0/100): Mathvision 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 dokumentasjon, usage examples, and contribution guidelines.
- Compliance (79/100): Mathvision is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Basert på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 56.8/100 (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 Mathvision?
Mathvision is designed for:
- Developers and teams working with education tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Mathvision is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhet posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Mathvision's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gjennomgå repository sikkerhet policy, open issues, and recent commits for signs of active vedlikehold.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kjente sårbarheter in Mathvision's dependency tree. - Anmeldelse permissions — Understand what access Mathvision requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mathvision 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=MathVision - Gjennomgå license — Confirm that Mathvision'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 sikkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Mathvision
When evaluating whether Mathvision is safe, consider these category-specific risks:
Understand how Mathvision processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mathvision's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Mathvision. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Mathvision 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 Mathvision's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mathvision in violation of its license can expose your organization to legal liability.
Mathvision and the EU AI Act
Mathvision 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 samsvar assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal samsvar.
Best Practices for Using Mathvision Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mathvision while minimizing risk:
Periodically review how Mathvision is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Mathvision and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Mathvision only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mathvision's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mathvision is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Mathvision?
Even promising tools aren't right for every situation. Consider avoiding Mathvision in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional samsvar review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Mathvision's trust score of 56.8/100 meets your organization's risk tolerance. We recommend running a manual sikkerhet assessment alongside the automated Nerq score.
How Mathvision Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among education tools, the average Trust Score is 62/100. Mathvision's score of 56.8/100 is near the category average of 62/100.
This places Mathvision in line with the typical education 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 Mathvision 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 vedlikehold patterns change, Mathvision'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 sikkerhet and quality. Conversely, a downward trend may signal reduced vedlikehold, growing technical debt, or unresolved vulnerabilities. To track Mathvision's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=MathVision&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 — sikkerhet, vedlikehold, dokumentasjon, samsvar, and community — has evolved independently, providing granular visibility into which aspects of Mathvision are strengthening or weakening over time.
Mathvision vs Alternativer
In the education category, Mathvision scores 56.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Mathvision vs Mr.-Ranedeer-AI-Tutor — Trust Score: 73.8/100
- Mathvision vs hello-agents — Trust Score: 79.5/100
- Mathvision vs owl — Trust Score: 71.3/100
Viktigste punkter
- Mathvision has a Trust Score of 56.8/100 (D) and is not yet Nerq Verified.
- Mathvision shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among education tools, Mathvision 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.
Ofte stilte spørsmål
Er Mathvision trygt?
Hva er tillitspoengene til Mathvision?
Hva er tryggere alternativer til Mathvision?
Hvor ofte oppdateres Mathvisions sikkerhetspoeng?
Kan jeg bruke Mathvision i et regulert miljø?
Se også
Disclaimer: Nerqs tillitspoeng er automatiserte vurderinger basert på offentlig tilgjengelige signaler. De utgjør ikke anbefalinger eller garantier. Utfør alltid din egen verifisering.