alphabase

v1.9.0 suspicious
4.0
Medium Risk

An infrastructure Python package of the AlphaX ecosystem

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity but raises concerns due to incomplete metadata and possibly inactive maintenance.

  • Missing maintainer's author name
  • New or inactive PyPI account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities like backdoors.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
  • Metadata: The maintainer's author name is missing and the account seems new or inactive, raising some concerns.

📦 Package Quality Overall: Medium (5.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://alphabase.readthedocs.io/en/latest/
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (11201 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 349 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 7 unique contributor(s) across 100 commits in MannLabs/alphabase
  • 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository MannLabs/alphabase appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 alphabase 
Develop a protein sequence analysis tool using the 'alphabase' package. This tool will enable users to input protein sequences and analyze them based on various parameters provided by the 'alphabase' package. The application should have the following functionalities:

1. User Interface: Design a simple web-based interface where users can upload their protein sequence data. Ensure the interface is user-friendly and allows for easy submission of data.
2. Sequence Analysis: Utilize the 'alphabase' package to perform basic and advanced analyses on the uploaded sequences. Basic analyses include calculating molecular weight, isoelectric point, and amino acid composition. Advanced analyses could involve predicting secondary structures, post-translational modifications, and more.
3. Visualization: Implement visual representations of the analysis results. For instance, create charts for amino acid compositions or graphs showing predicted secondary structures.
4. Report Generation: Allow users to generate comprehensive reports summarizing the analysis results. These reports should include all the details calculated from the uploaded sequences and any predictions made by the 'alphabase' package.
5. Documentation: Provide clear documentation explaining how to use the tool, including sample inputs and expected outputs.

To utilize the 'alphabase' package effectively, integrate its core functionalities into your analysis workflows. For example, leverage 'alphabase' for calculating molecular weights, predicting modifications, and generating models for sequence analysis. Additionally, explore integrating other packages within the AlphaX ecosystem that complement 'alphabase', enhancing the scope and depth of your analysis tool.

💬 Discussion Feed

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