Is Datacore Safe?
Datacore — Nerq Trust Score 46.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Datacore is a NuGet package with a Nerq Trust Score of 46.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 0/100. Data sourced from nuget.org, GitHub, and NVD. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Datacore safe?
Trust Score Breakdown — Datacore has a Nerq Trust Score of 46.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-21).
What is Datacore's trust score?
Datacore has a Nerq Trust Score of 46.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Datacore?
Datacore's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Datacore and who maintains it?
| Author | Unknown |
| Category | NuGet Packages |
| Source | N/A |
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Safety Guide: Datacore
What is Datacore?
Datacore is a NuGet package.
How to Verify Safety
Run dotnet list package --vulnerable. Check publisher on nuget.org.
You can also check the trust score via API: GET /v1/preflight?target=DataCore
Key Safety Concerns for NuGet package
When evaluating any NuGet package, watch for: dependency vulnerabilities, publisher verification.
Measured Signals
Datacore has a Nerq Trust Score of 46/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Datacore has a Trust Score of 46/100 (D).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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What are safer alternatives to Datacore?
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.