amsdal_data

v0.7.2 suspicious
4.0
Medium Risk

Data-layer for AMSDAL framework

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell execution, and obfuscation. However, incomplete maintainer information and the lack of a linked GitHub repository increase suspicion, warranting further investigation.

  • Incomplete maintainer information
  • No associated GitHub repository
Per-check LLM notes
  • Network: No network call patterns detected, which is normal unless the package requires network interaction for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The maintainer's author information is incomplete, and there is no associated GitHub repository, which raises some suspicion.

📦 Package Quality Overall: Low (3.6/10)

○ 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://pypi.org/project/amsdal_data/#readme
  • Detailed PyPI description (28234 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

  • Type checker (mypy / pyright / pytype) referenced in project
○ 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

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: amsdal.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 amsdal_data 
Create a mini-application called 'DataInsightTool' using the Python package 'amdal_data', which is designed to serve as a data-layer for the AMSDAL framework. This tool will enable users to perform basic data analysis tasks such as filtering, sorting, and aggregation on datasets. Additionally, it will provide visualizations of the data to make insights more accessible.

1. **Setup**: Start by installing the necessary packages including 'amdal_data'. Ensure your environment is set up correctly to support the AMSDAL framework.
2. **Data Import**: Implement functionality within 'DataInsightTool' to import datasets from various sources like CSV files or SQL databases. Use 'amdal_data' to handle the underlying data storage and retrieval operations efficiently.
3. **Basic Analysis**: Allow users to perform basic analysis tasks such as filtering data based on specific criteria (e.g., date ranges, numerical thresholds), sorting data by different fields, and aggregating data (e.g., calculating sums, averages).
4. **Visualization**: Integrate a simple plotting library like Matplotlib or Seaborn to visualize the results of these analyses. Users should be able to see histograms, line charts, bar graphs, etc., directly within the application.
5. **User Interface**: Develop a user-friendly interface using a GUI toolkit like Tkinter or PyQt, where users can interact with their data easily. The UI should allow for easy navigation between different analysis options and display areas.
6. **Documentation & Testing**: Write comprehensive documentation explaining how to use 'DataInsightTool' effectively, including setup instructions and examples of common use cases. Also, ensure thorough testing of all functionalities to catch any bugs early.

In this project, 'amdal_data' will be crucial for managing data efficiently and integrating seamlessly with other components of the AMSDAL framework. Emphasize on leveraging 'amdal_data's capabilities to enhance performance and scalability of 'DataInsightTool'.