Is Adafruit Circuitpython Mpu6050 Safe?
Adafruit Circuitpython Mpu6050 — Nerq Trust Score 62.0/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-09.
Use Adafruit Circuitpython Mpu6050 with some caution. Adafruit Circuitpython Mpu6050 is a Python package with a Nerq Trust Score of 62.0/100 (C+), based on 3 independent data dimensions. Below the recommended threshold of 70. 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 Adafruit Circuitpython Mpu6050 safe?
CAUTION — Adafruit Circuitpython Mpu6050 has a Nerq Trust Score of 62.0/100 (C+). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Adafruit Circuitpython Mpu6050's trust score?
Adafruit Circuitpython Mpu6050 has a Nerq Trust Score of 62.0/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Adafruit Circuitpython Mpu6050?
Adafruit Circuitpython Mpu6050's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Adafruit Circuitpython Mpu6050 and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Adafruit Circuitpython Mpu6050
What is Adafruit Circuitpython Mpu6050?
Adafruit Circuitpython Mpu6050 is a Python package — CircuitPython helper library for the MPU6050 6-DoF Accelerometer and Gyroscope.
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=adafruit-circuitpython-mpu6050
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Adafruit Circuitpython Mpu6050 has a Nerq Trust Score of 62/100 (C+) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Adafruit Circuitpython Mpu6050 has a Trust Score of 62/100 (C+).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 85/100 |
| Popularity | 0/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Adafruit Circuitpython Mpu6050 collect?
Privacy assessment for Adafruit Circuitpython Mpu6050 is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Adafruit Circuitpython Mpu6050 secure?
Security score: 90/100. Adafruit Circuitpython Mpu6050 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.
Full analysis: Adafruit Circuitpython Mpu6050 Security Report
How we calculated this score
Adafruit Circuitpython Mpu6050's trust score of 62.0/100 (C+) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (85/100), popularity (0/100), quality (65/100), community (35/100). 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 May 09, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.