Is Auto Coder Safe?
Auto Coder — Nerq Trust Score 65.2/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-27.
Use Auto Coder with some caution. Auto Coder is a Python package with a Nerq Trust Score of 65.2/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Auto Coder safe?
CAUTION — Auto Coder has a Nerq Trust Score of 65.2/100 (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 Auto Coder's trust score?
Auto Coder 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 Auto Coder?
Auto Coder'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 Auto Coder and who maintains it?
| Author | allwefantasy |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Auto Coder
What is Auto Coder?
Auto Coder is a Python package — AutoCoder: AutoCoder.
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=auto-coder
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Auto Coder has a Nerq Trust Score of 65/100 (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
- Auto Coder has a Trust Score of 65/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 30/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Auto Coder collect?
Privacy assessment for Auto Coder is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Auto Coder secure?
Security score: 90/100. Auto Coder has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under 专有软件许可协议 PROPRIETARY SOFTWARE LICENSE AGREEMENT 版权所有 (c) 2024 auto, 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: Auto Coder Security Report
How we calculated this score
Auto Coder's trust score of 65.2/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (30/100), quality (40/100), 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 April 27, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
Is Auto Coder Safe?
What is Auto Coder's trust score?
What are safer alternatives to Auto Coder?
Does Auto Coder have known vulnerabilities?
Is Auto Coder actively maintained?
Popular in Python Packages
Browse Categories
See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.