Is Argparse Safe?
Argparse — Nerq Trust Score 68.5/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-03-31.
Use Argparse with some caution. Argparse is a Python package with a Nerq Trust Score of 68.5/100 (B-), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Machine-readable data (JSON).
Is Argparse safe?
CAUTION — Argparse has a Nerq Trust Score of 68.5/100 (B-). 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 Argparse's trust score?
Argparse has a Nerq Trust Score of 68.5/100, 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 Argparse?
Argparse'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 Argparse and who maintains it?
| Author | Thomas Waldmann |
| Category | pypi |
| Source | N/A |
Argparse Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Argparse
What is Argparse?
Argparse is a Python package — Python command-line parsing library.
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=argparse
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Argparse has a Nerq Trust Score of 68/100 (B-) 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
- Argparse has a Trust Score of 68/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 85/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Argparse collect?
Argparse is a Python package maintained by Thomas Waldmann. It receives approximately 4,598,550 weekly downloads. Licensed under Python Software Foundation License.
As a development package, Argparse does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Argparse Privacy Report · Privacy review
Is Argparse secure?
Security score: 90/100. Argparse has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Python Software Foundation License, 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: Argparse Security Report
Argparse Across Platforms
Same developer/company in other registries:
How we calculated this score
Argparse's trust score of 68.5/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), privacy (80/100), reliability (90/100), transparency (85/100), maintenance (60/100). 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 March 31, 2026. Data version: 1.0.
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.