AI Analysis
The package shows low risks in terms of network, shell execution, obfuscation, and credential harvesting. However, its low activity level and new maintainer status raise some concerns about potential supply-chain risks.
- Low activity and new maintainer increase suspicion of potential supply-chain attacks.
- Otherwise, the package does not exhibit any significant security risks.
Per-check LLM notes
- Network: The use of httpx client suggests the package is designed to make network requests, which is common for database clients.
- Shell: No shell execution patterns detected, indicating low risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low activity and new maintainer suggest potential risk.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (985 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed22 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 10 commits in devfrank-m/python-atlas-clientTwo distinct contributors found
Heuristic Checks
Found 2 network call pattern(s)
None: self._client = httpx.AsyncClient( **_build_client_kwargs(host, timeout, headers,None: self._client = httpx.Client( **_build_client_kwargs(host, timeout, headers,
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
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 "devfrank-m" 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 atlas-db-client package to demonstrate its core features.
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