AI Analysis
Final verdict: SAFE
The package exhibits low risks across all critical areas with no detected network calls, shell executions, or obfuscations. However, the metadata risk due to the author's new or inactive account slightly elevates the overall score.
- Low risk in network, shell, and obfuscation categories.
- Metadata risk due to author's account status.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has a new or inactive account and lacks a full name, which could indicate a lower level of trustworthiness.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository datahub-project/datahub appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with acryl-datahub-dagster-plugin
Build a simple Python application using the acryl-datahub-dagster-plugin package to demonstrate its core features.