artof

v1.4.0 suspicious
6.0
Medium Risk

The ARTOF is a tool to read, process and analyze data collected from angle resolved time of flight (ARToF) electron analyzer.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of typosquatting targeting 'arrow', and its metadata suggests a less established maintainer with no associated GitHub repository.

  • Typosquatting attempt targeting 'arrow'
  • Single package maintainer with no associated GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
  • Metadata: The maintainer has a single package, and there's no associated GitHub repo, which may indicate a less established or potentially suspicious account.
  • ⚠ Typosquatting target: arrow

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3925 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 136 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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 score 3.0

Possible typosquat of: arrow

  • "artof" is 2 edit(s) from "arrow"
✓ Registered Email Domain

Email domain looks legitimate: helmholtz-berlin.de

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Carl Magnus Meier" 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 artof 
Develop a Python-based mini-application that leverages the 'artof' package to analyze data from Angle Resolved Time of Flight (ARToF) electron analyzers. Your application should serve as a user-friendly tool for researchers and scientists working with ARToF data. Here’s a step-by-step guide on how to approach this project:

1. **Setup Environment**: Begin by setting up your Python environment. Ensure you have Python installed and then install the 'artof' package along with any other necessary dependencies.
2. **Data Importation**: Implement functionality within your app to import ARToF data files. These could be in various formats such as CSV, TXT, or proprietary formats supported by the 'artof' package. Utilize the 'artof' package to handle these imports efficiently.
3. **Data Visualization**: Create visualizations of the imported data. Use matplotlib or seaborn to plot the angle-resolved time-of-flight spectra. The 'artof' package should facilitate the extraction of relevant data points for plotting.
4. **Analysis Tools**: Incorporate analysis tools into your application. This could include fitting models to the data, calculating mean free paths, or identifying peak energies. Leverage the analytical functions provided by the 'artof' package to perform these tasks accurately.
5. **User Interface**: Develop a simple graphical user interface (GUI) using libraries like PyQt or Tkinter. This GUI should allow users to easily upload their data files, select analysis options, and view results.
6. **Export Results**: Allow users to export the analyzed data and plots in various formats such as PDF, PNG, or CSV. Ensure that the exported data retains all the necessary information for further research or publication.
7. **Documentation & Testing**: Write comprehensive documentation explaining how to use each feature of your application. Additionally, create test cases to validate the accuracy of your data processing and analysis functions.

Suggested Features:
- Real-time data visualization as data is being processed.
- Multiple file import capability allowing for batch processing.
- Advanced filtering options to clean and preprocess data before analysis.
- Comprehensive report generation summarizing key findings from the analysis.
- Integration with cloud storage services for easy sharing and collaboration.

Remember to utilize the 'artof' package effectively throughout your development process, ensuring that it serves as the backbone for handling ARToF data.

💬 Discussion Feed

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