Is Chatglm Cpp Safe?
Chatglm Cpp — Nerq Trust Score 58.0/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-28.
Use Chatglm Cpp with some caution. Chatglm Cpp is a Python package with a Nerq Trust Score of 58.0/100 (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 Chatglm Cpp safe?
CAUTION — Chatglm Cpp has a Nerq Trust Score of 58.0/100 (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 Chatglm Cpp's trust score?
Chatglm Cpp has a Nerq Trust Score of 58.0/100, 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 Chatglm Cpp?
Chatglm Cpp'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 Chatglm Cpp and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Chatglm Cpp
What is Chatglm Cpp?
Chatglm Cpp is a Python package — C++ implementation of ChatGLM family models.
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=chatglm-cpp
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Chatglm Cpp has a Nerq Trust Score of 58/100 (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
- Chatglm Cpp has a Trust Score of 58/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 69/100 |
| 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 Chatglm Cpp collect?
Privacy assessment for Chatglm Cpp is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Chatglm Cpp secure?
Security score: 90/100. Chatglm Cpp has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT 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: Chatglm Cpp Security Report
How we calculated this score
Chatglm Cpp's trust score of 58.0/100 (C) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (69/100), 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 April 28, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
Is Chatglm Cpp Safe?
What is Chatglm Cpp's trust score?
What are safer alternatives to Chatglm Cpp?
Does Chatglm Cpp have known vulnerabilities?
Is Chatglm Cpp 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.