Is Flask Ngrok Safe?
Flask Ngrok — Nerq Trust Score 57.2/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Flask Ngrok is a Python package with a Nerq Trust Score of 57.2/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Flask Ngrok safe?
Trust Score Breakdown — Flask Ngrok has a Nerq Trust Score of 57.2/100 (C). Measured across 2 independent trust signals (as of 2026-07-22).
What is Flask Ngrok's trust score?
Flask Ngrok has a Nerq Trust Score of 57.2/100, 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 Flask Ngrok?
Flask Ngrok's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Flask Ngrok and who maintains it?
| Author | Grant Stafford |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Flask Ngrok
What is Flask Ngrok?
Flask Ngrok is a Python package — A simple way to demo Flask apps from your machine..
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=flask-ngrok
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Flask Ngrok has a Nerq Trust Score of 57/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Flask Ngrok has a Trust Score of 57/100 (C).
- 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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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.