AI Analysis
The package shows minimal risk indicators with no network calls, shell executions, or obfuscation patterns detected. The metadata risk score is slightly elevated due to the author's limited presence on PyPI, but there is no evidence of malicious intent.
- No network calls detected
- Single package by the author
- Low metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal for most library packages.
- Shell: No shell executions detected, indicating no immediate risk from this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
- Metadata: The author has only one package and lacks PyPI classifiers, suggesting low effort but not necessarily malicious intent.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://qualcomm.github.io/aimet-pages/releases/latest/indexDetailed PyPI description (11585 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
10 unique contributor(s) across 100 commits in quic/aimetActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: quicinc.com>
All external links appear legitimate
Repository quic/aimet appears legitimate
2 maintainer concern(s) found
Author "Qualcomm Innovation Center, Inc." appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the aimet-onnx package to demonstrate its core features.