arycal

v0.2.3 suspicious
4.0
Medium Risk

Across Run dYnamic Chromatogram ALignment - A Rust-based tool for aligning extracted ion chromatograms (EICs) across multiple runs

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks associated with network calls, shell execution, and obfuscation. However, the missing maintainer's author name and potential inactivity raise concerns about its origin and maintenance.

  • Missing maintainer's author name
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing and appears to be new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.2/10)

○ 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://github.com/singjc/arycal
  • Detailed PyPI description (2025 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 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in singjc/arycal
  • Small but multi-author team (3–4 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 singjc/arycal 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 arycal 
Create a fully-functional mini-application that leverages the 'arycal' package to align extracted ion chromatograms (EICs) from different mass spectrometry runs. This application will be called 'ChromAligner'. The goal of ChromAligner is to simplify the process of EIC alignment for researchers working with complex metabolomics data. Here are the key steps and features your application should include:

1. **Data Importation**: Allow users to import EIC datasets from common file formats such as mzML or CSV. Ensure that the application supports batch processing for multiple files.
2. **Alignment Processing**: Utilize the 'arycal' package to perform dynamic alignment of the imported EICs. This step should account for variations in retention time across different runs due to factors like column aging or slight differences in mobile phase composition.
3. **Visualization**: Provide a graphical interface where users can visualize the aligned EICs side by side, allowing for easy comparison and analysis. Include options for zooming in on specific regions of interest.
4. **Export Options**: Enable users to export the aligned EICs in various formats, including mzML, CSV, and PNG for chromatogram images. Users should also have the option to save the alignment parameters for future reference.
5. **User Interface**: Design a clean and intuitive user interface using a Python GUI framework like PyQt or Tkinter. The UI should guide users through each step of the process clearly.
6. **Documentation and Help**: Include comprehensive documentation within the application and online. Provide examples of typical use cases and troubleshoot common issues.

In addition to these core functionalities, consider adding the following advanced features:
- Integration with cloud storage services for large dataset management.
- Support for real-time collaboration, allowing multiple researchers to work on the same dataset simultaneously.
- Automated quality control checks before and after the alignment process to ensure data integrity.
- Compatibility with popular data analysis tools via APIs or plugins.

The 'arycal' package will be central to the alignment processing step, where it will handle the computational heavy lifting of dynamically aligning EICs across multiple runs. Your task is to design and implement ChromAligner in a way that makes this powerful functionality accessible to non-expert users while retaining its full analytical capability.

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