AI Analysis
Final verdict: SAFE
The package appears to be from a new or less active maintainer with no additional red flags identified. There is minimal risk associated with this package.
- Maintainer has only one package
- No metadata red flags
- No description provided
Per-check LLM notes
- Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (2.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
134 type-annotated function signatures detected in source
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
} # response = httpx.post(url, files=files, headers=headers) # response.r
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
Email domain looks legitimate: example.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Your Name" 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 ai4ce-efuncs
Create a weather prediction mini-app using the 'ai4ce-efuncs' Python package. This app will allow users to input geographical coordinates and receive predictions about temperature, precipitation, and wind conditions for the next 7 days. Utilize the package's core functionalities such as data preprocessing, feature engineering, and model training to predict weather patterns based on historical meteorological data. Additionally, implement a user-friendly interface where users can visualize the forecasted weather data through charts and graphs. Ensure the app includes error handling for invalid inputs and provides informative feedback to users.
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