aiidalab-qe-hp

v0.1.5 safe
4.0
Medium Risk

AiiDALab plugin for Quantum ESPRESSO Hubbard parameters (HP) calculations.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories with no direct threats identified. However, the metadata risk score is slightly elevated due to low maintainer activity and incomplete information.

  • No network or shell risks detected
  • Metadata risk due to low repository activity and incomplete maintainer info
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell executions detected, indicating no immediate risk of unauthorized command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository has low activity and the maintainer's information is incomplete, indicating potential unreliability.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://aiidalab-qe-hp.readthedocs.io/
  • Detailed PyPI description (1366 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

  • 3 type-annotated function signatures (partial)
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 27 commits in superstar54/aiidalab-qe-hp
  • 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 aiidalab-qe-hp 
Create a user-friendly web-based mini-application using Flask or Django that integrates with the 'aiidalab-qe-hp' package to facilitate Quantum ESPRESSO Hubbard parameter calculations. Your application should allow users to upload their input files for Quantum ESPRESSO calculations, specify the required Hubbard parameters, and submit these jobs to an AiiDA workflow for processing. Upon successful submission, the app should display a job status page where users can track the progress of their calculations and eventually download the results once completed.

Key Features:
1. User authentication and authorization for secure access.
2. File upload functionality for Quantum ESPRESSO input files.
3. Form-based interface to input Hubbard parameters.
4. Job submission to AiiDA workflows through the 'aiidalab-qe-hp' package.
5. Real-time or periodic updates on job status.
6. Downloadable results upon completion of the calculation.
7. Error handling and notification system for failed submissions.

How 'aiidalab-qe-hp' is utilized:
- Use the 'aiidalab-qe-hp' package to define and validate the input parameters for Quantum ESPRESSO HP calculations.
- Leverage the package's capabilities to integrate with AiiDA for managing computational workflows and data storage.
- Implement the package's API endpoints to interact with the AiiDA backend for submitting jobs and retrieving results.