AI Analysis
The package aijsondbpy v0.11.0 presents minimal risks given its functionality and analysis notes. While there's some concern about metadata and package maintenance activity, the lack of network calls, shell execution, obfuscation, and credential risks suggests it is not indicative of a supply-chain attack.
- Low network, shell, obfuscation, and credential risks.
- Metadata risk due to low activity and fewer maintained packages.
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on local JSON database operations.
- Shell: No shell execution detected, aligning with the expected behavior of a non-administrative package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has low activity and the maintainer has few packages, suggesting potential unreliability.
Package Quality Overall: Low (3.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2085 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
Limited contributor diversity
2 unique contributor(s) across 11 commits in awenzel67/aijsondb-pyTwo distinct contributors found
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: gmail.com
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Andreas Wenzel" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the aijsondbpy package to demonstrate its core features.