Is Pexpect Safe?
Pexpect — Nerq Trust Score 65.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-11
Pexpect is a Python package with a Nerq Trust Score of 65.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-08-11 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-11. Machine-readable data (JSON).
Is Pexpect safe?
Trust Score Breakdown — Pexpect has a Nerq Trust Score of 65.2/100 (B-). Measured across 2 independent trust signals (as of 2026-08-11).
What is Pexpect's trust score?
Pexpect has a Nerq Trust Score of 65.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Pexpect?
Pexpect's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Pexpect and who maintains it?
| Author | Noah Spurrier; Thomas Kluyver; Jeff Quast |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pexpect
What is Pexpect?
Pexpect is a Python package — Pexpect allows easy control of interactive console applications..
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=pexpect
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pexpect has a Nerq Trust Score of 65/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pexpect has a Trust Score of 65/100 (B-).
- 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.