aiida-qe-xspec

v0.2.0 safe
4.0
Medium Risk

AiiDA plugin for core-level spectroscopy calculations with Quantum ESPRESSO.

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe with minimal risks identified. The absence of network calls, shell execution, obfuscation, and credential harvesting suggests it poses little direct threat.

  • Metadata risk due to non-HTTPS links
  • Single package maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal for most Python packages unless they require external API access.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands without user interaction.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no typosquatting or email domain flags, but contains non-HTTPS links and the maintainer has only one package.

📦 Package Quality Overall: Medium (6.4/10)

◈ 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://aiida-qe-xspec.readthedocs.io/
  • Detailed PyPI description (2394 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

  • 8 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 41 commits in aiidaplugins/aiida-qe-xspec
  • 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

No author email provided

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://nccr-marvel.ch
  • Non-HTTPS external link: http://www.max-centre.eu/
✓ Git Repository History

Repository aiidaplugins/aiida-qe-xspec appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "aiida-qe-xspec team" 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 aiida-qe-xspec 
Develop a mini-application that leverages the 'aiida-qe-xspec' package to perform core-level spectroscopy calculations on various materials using Quantum ESPRESSO. This application should allow users to input material parameters, such as atomic configurations and lattice constants, and generate corresponding X-ray absorption spectra (XAS). Here’s a step-by-step guide on what your application should include:

1. **User Interface**: Design a simple and intuitive graphical user interface (GUI) where users can input their material parameters. Ensure that the GUI supports file uploads for more complex input files.
2. **Input Validation**: Implement robust validation checks to ensure that the input data provided by the user is within acceptable ranges and formats required by the 'aiida-qe-xspec' package.
3. **Calculation Execution**: Use the 'aiida-qe-xspec' package to execute core-level spectroscopy calculations based on the user inputs. This involves setting up the necessary workflows and submitting jobs to a computational backend.
4. **Result Visualization**: Once the calculations are completed, display the results in a visually appealing manner. Users should be able to view the XAS spectra directly from the application and export them as image files or raw data.
5. **Error Handling and Logging**: Incorporate comprehensive error handling mechanisms to manage any issues that arise during the calculation process. Logs should be maintained for debugging purposes.
6. **Documentation and Help**: Provide clear documentation and a help section within the application to guide users through the process of using the application effectively.

Suggested Features:
- Support for multiple material types (metals, semiconductors, insulators).
- Advanced options for fine-tuning the calculation parameters.
- Integration with a database to store and retrieve previous calculation results.
- Option to run simulations in parallel for faster processing.

This project will not only serve as a practical tool for researchers but also demonstrate the capabilities of the 'aiida-qe-xspec' package in a real-world scenario.

💬 Discussion Feed

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