Html5Lib est-il sûr ?
Html5Lib — Nerq Trust Score 52.2/100 (Note D). Sur la base de l'analyse de 1 dimensions de confiance, il est a des préoccupations de sécurité notables. Dernière mise à jour : 2026-06-01.
Utilisez Html5Lib avec précaution. Html5Lib est un software tool avec un Nerq Trust Score de 52.2/100 (D), basé sur 3 dimensions de données indépendantes. En dessous du seuil vérifié Nerq Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: 2026-06-01. Données lisibles par machine (JSON).
Html5Lib est-il sûr ?
CAUTION — Html5Lib has a Nerq Trust Score of 52.2/100 (D). Il présente des signaux de confiance modérés mais montre certaines zones de préoccupation that warrant attention. Suitable for development use — review sécurité and maintenance signals before production deployment.
Quel est le score de confiance de Html5Lib ?
Html5Lib a un Score de Confiance Nerq de 52.2/100, obtenant la note D. Ce score est basé sur 1 dimensions mesurées indépendamment.
Quels sont les résultats de sécurité clés pour Html5Lib ?
Le signal le plus fort de Html5Lib est conformité à 100/100. Aucune vulnérabilité connue n'a été détectée. N'a pas encore atteint le seuil vérifié Nerq de 70+.
Qu'est-ce que Html5Lib et qui le maintient ?
| Auteur | James Graham |
| Catégorie | Uncategorized |
| Source | https://pypi.org/project/html5lib/ |
Conformité réglementaire
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
What Is Html5Lib?
Html5Lib is a software tool in the uncategorized category: HTML parser based on the WHATWG HTML specification. Nerq Trust Score: 52/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.
How Nerq Assesses Html5Lib's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Html5Lib performs in each:
- Compliance (100/100): Html5Lib is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 52.2/100 (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 Html5Lib?
Html5Lib is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Html5Lib is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sécurité posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Html5Lib's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Examiner le/la repository sécurité 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 Html5Lib's dependency tree. - Avis permissions — Understand what access Html5Lib requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Html5Lib 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=html5lib - Examiner le/la license — Confirm that Html5Lib'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 sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Html5Lib
When evaluating whether Html5Lib is safe, consider these category-specific risks:
Understand how Html5Lib processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Html5Lib's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sécurité risk.
Regularly check for updates to Html5Lib. Sécurité patches and bug fixes are only effective if you're running the latest version.
If Html5Lib 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 Html5Lib's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Html5Lib in violation of its license can expose your organization to legal liability.
Best Practices for Using Html5Lib Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Html5Lib while minimizing risk:
Periodically review how Html5Lib is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.
Ensure Html5Lib and all its dependencies are running the latest stable versions to benefit from sécurité patches.
Grant Html5Lib only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Html5Lib's sécurité advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Html5Lib is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Html5Lib?
Even promising tools aren't right for every situation. Consider avoiding Html5Lib in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional conformité review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Html5Lib's trust score of 52.2/100 meets your organization's risk tolerance. We recommend running a manual sécurité assessment alongside the automated Nerq score.
How Html5Lib Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Html5Lib's score of 52.2/100 is near the category average of 62/100.
This places Html5Lib in line with the typical uncategorized 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 modéré 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 Html5Lib 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 maintenance patterns change, Html5Lib'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 sécurité and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Html5Lib's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=html5lib&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 — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Html5Lib are strengthening or weakening over time.
Points Essentiels
- Html5Lib has a Trust Score of 52.2/100 (D) and is not yet Nerq Verified.
- Html5Lib shows modéré trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Html5Lib 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.
Quelles données Html5Lib collecte-t-il ?
Confidentialité assessment for Html5Lib is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Html5Lib est-il sécurisé ?
Sécurité score: en cours d'évaluation. Review sécurité practices and consider alternatives with higher sécurité scores for sensitive use cases.
Nerq surveille cette entité par rapport à NVD, OSV.dev et aux bases de données de vulnérabilités spécifiques aux registres pour une évaluation de sécurité continue.
Analyse complète : Rapport de sécurité de Html5Lib
Comment nous avons calculé ce score
Html5Lib's trust score of 52.2/100 (D) est calculé à partir de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Le score reflète 0 dimensions indépendantes: . Chaque dimension est pondérée de manière égale pour produire le score de confiance composite.
Nerq analyse plus de 7,5 millions d'entités dans 26 registres en utilisant la même méthodologie, permettant une comparaison directe entre entités. Les scores sont mis à jour en continu dès que de nouvelles données sont disponibles.
Cette page a été révisée pour la dernière fois le June 01, 2026. Version des données: 1.0.
Documentation complète de la méthodologie · Données lisibles par machine (API JSON)
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Voir aussi
Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.