AI Analysis
Final verdict: SAFE
The package appears to be safe with no direct evidence of malicious intent. However, it has some unusual practices that require monitoring.
- Subprocess execution with potential risks
- Unusual use of eval and string concatenation
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external API interactions.
- Shell: Subprocess execution may be necessary for certain functionalities, but requires scrutiny to ensure it's not being used maliciously.
- Obfuscation: The use of eval and string concatenation is unusual but may be part of a legitimate implementation for dynamic function calls.
- Credentials: No suspicious patterns indicating credential harvesting were detected.
- Metadata: The package shows some signs of low maintenance and potential lack of community support, but there's no clear evidence of malicious intent.
Package Quality Overall: Low (4.4/10)
✦ High
Test Suite
9.0
Test suite present — 3 test file(s) found
3 test file(s) detected (e.g. test_csv_loader.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (5525 chars)
○ 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
236 type-annotated function signatures detected in source
○ Low
Multiple Contributors
1.0
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 6.0
Found 3 obfuscation pattern(s)
'd') else: w = eval('np.' + window + '(window_len)') if mode == 'valid':dow == 'kaiser': w = eval('np.' + window + '(window_len,alpha)') else: wha)') else: w = eval('np.' + window + '(window_len)') # calculate tapered
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
BACKEND", "Agg") subprocess.run(cmd, check=True, cwd=str(folders[0]), env=env)
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
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "AnyTimes Developers" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
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