Is Beat Test Safe?

Beat Test — Nerq Trust Score 53.5/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Beat Test is a Python package with a Nerq Trust Score of 53.5/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Is Beat Test safe?

Trust Score Breakdown — Beat Test has a Nerq Trust Score of 53.5/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).

Security Analysis → Beat Test Privacy Report →

What is Beat Test's trust score?

Beat Test has a Nerq Trust Score of 53.5/100, earning a C- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
0

What are the key security findings for Beat Test?

Beat Test's strongest signal is security at 90/100. No known vulnerabilities have been detected.

Security score: 90/100 (strong)
Popularity: 0/100 — community adoption

What is Beat Test and who maintains it?

AuthorMicrosoft Corporation
CategoryPython Packages
SourceN/A

Beat Test Across Platforms

Same developer/company in other registries:

azure-storage-blob
68/100 · gems
azure-storage-common
68/100 · gems
Microsoft PowerPoint
67/100 · android
Microsoft Excel: Spreadsheets
67/100 · android
Microsoft Word: Edit Documents
67/100 · android

Similar Pypi by Trust Score

azure-mgmt-managementgroups (64)apache-airflow-providers-microsoft-fabric (64)asyncmy (64)better-exceptions (64)abi3audit (64)
See all safest Pypi →

Compare

Beat Test vs azure-mgmt-managementgroupsBeat Test vs apache-airflow-providers-microsoft-fabricBeat Test vs asyncmy

Safety Guide: Beat Test

What is Beat Test?

Beat Test is a Python package — This package contains several methods for calculating Conditional Average Treatment Effects.

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=BEAT-TEST

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Measured Signals

Beat Test has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Beat Test Safe?
BEAT-TEST with a Nerq Trust Score of 53.5/100 (C-). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (0/100).
What is Beat Test's trust score?
BEAT-TEST: 53.5/100 (C-). Score based on Security (90/100), Popularity (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=BEAT-TEST
What are safer alternatives to Beat Test?
In the Python Packages category, more Python packages are being analyzed — check back soon. BEAT-TEST scores 53.5/100.
Does Beat Test have known vulnerabilities?
Nerq checks Beat Test against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Beat Test actively maintained?
Beat Test maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

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.

We use cookies for analytics and caching. Privacy