AI Analysis
The package shows minimal risks in terms of network, shell, and obfuscation activities. However, the metadata risk score of 3 out of 10 due to incomplete author information and possibly new or inactive accounts warrants further investigation.
- Incomplete author information
- Possibly new or inactive author account
Per-check LLM notes
- Network: No network calls detected, which is normal for most utility packages.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The author's information is incomplete and the account seems new or inactive, which raises some concern. However, no other suspicious activities were detected.
Package Quality Overall: Medium (6.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (5805 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
365 type-annotated function signatures detected in source
Active multi-contributor project
5 unique contributor(s) across 100 commits in mirumee/ariadneActive 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: mirumee.com>
Found 3 suspicious link(s) on the package page
Non-HTTPS external link: http://graphql.github.io/Non-HTTPS external link: http://www.uvicorn.org/Non-HTTPS external link: http://mirumee.com
Repository mirumee/ariadne appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 ariadne package to demonstrate its core features.
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