ale-py

v0.12.0 safe
2.0
Low Risk

The Arcade Learning Environment (ALE) - a platform for AI research.

🤖 AI Analysis

Final verdict: SAFE

The package ale-py v0.12.0 exhibits very low risk indicators with no network calls, shell executions, obfuscations, or credential risks detected. The metadata also shows a credible maintainer with no suspicious activities.

  • No network calls
  • No shell execution
  • No obfuscation
  • No credential risk
  • Credible maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no direct system command invocation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a notable academic background and no suspicious links or typosquatting attempts are detected.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://ale.farama.org
  • Detailed PyPI description (7812 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 16 unique contributor(s) across 100 commits in Farama-Foundation/Arcade-Learning-Environment
  • Active community — 5 or more distinct contributors

🔬 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 score 3.0

Suspicious email domain flags: Very short email domain: cs.mcgill.ca>

  • Very short email domain: cs.mcgill.ca>
✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Farama-Foundation/Arcade-Learning-Environment appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling" 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

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