Er Toml sikker?
Toml — Nerq Trust Score 72.2/100 (Karakter B). Baseret på analyse af 2 tillidsdimensioner vurderes det som generelt sikkert men med visse bekymringer. Sidst opdateret: 2026-04-05.
Ja, Toml er sikker at bruge. Toml er en Python package with a Nerq Trust Score of 72.2/100 (B), based on 3 independent data dimensions. It is recommended for production use. Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Maskinlæsbare data (JSON).
Er Toml sikker?
YES — Toml has a Nerq Trust Score of 72.2/100 (B). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
Hvad er Tomls tillidsscore?
Toml har en Nerq Trust Score på 72.2/100 med karakteren B. Denne score er baseret på 2 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Toml?
Tomls stærkeste signal er popularitet på 100/100. Ingen kendte sårbarheder er fundet. It meets the Nerq Verified threshold of 70+.
Hvad er Toml og hvem vedligeholder det?
| Udvikler | William Pearson |
| Kategori | pypi |
| Kilde | N/A |
Toml på andre platforme
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Safety Guide: Toml
What is Toml?
Toml is a Python package — Python Library for Tom's Obvious, Minimal Language.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=toml
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Toml has a Nerq Trust Score of 72/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Toml has a Trust Score of 72/100 (B).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detaljeret scoreanalyse
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 85/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
Hvilke data indsamler Toml?
Toml is a Python package maintained by William Pearson. It receives approximately 28,972,698 weekly downloads. Licensed under MIT.
As a development package, Toml does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Fuld analyse: Toml privatlivsrapport · Privacy review
Er Toml sikker?
Security score: 90/100. Toml has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Fuld analyse: Toml sikkerhedsrapport
Toml på andre platforme
Samme udvikler/virksomhed i andre registre:
Sådan beregnede vi denne score
Toml's trust score of 72.2/100 (B) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), privacy (80/100), reliability (90/100), transparency (85/100), maintenance (60/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on April 05, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Ofte stillede spørgsmål
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Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.