amsdal_utils

v0.7.1 suspicious
5.0
Medium Risk

Utils for AMSDAL data framework

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has some concerning aspects such as incomplete maintainer information and the use of base64 encoding, which might indicate an attempt to obfuscate code logic. However, there is no strong evidence of malicious activities.

  • Incomplete maintainer's author information
  • Use of base64 encoding
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: The use of base64 encoding and decoding is common but could indicate an attempt to obscure code logic.
  • Credentials: No clear patterns indicative of credential harvesting were found.
  • Metadata: The maintainer's author information is incomplete, and the lack of a GitHub repository adds suspicion, but no concrete evidence of malicious intent is present.

📦 Package Quality Overall: Low (4.0/10)

○ 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_utils/#readme
  • Detailed PyPI description (28274 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 110 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 score 4.0

Found 2 obfuscation pattern(s)

  • decoded_binary = base64.b64decode(encoded_id.encode('utf-8')) return json.loads(de
  • 'bytes': lambda x: base64.b64decode(x.encode('utf-8')), } return type_m
✓ 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_utils 
Your task is to develop a mini-application called 'DataAnalyzer' that leverages the functionalities of the Python package 'amsdal_utils'. This application will serve as a powerful tool for researchers and data scientists to analyze datasets using the AMSDAL data framework. The primary goal is to create an interactive command-line interface where users can load, manipulate, and visualize their datasets efficiently.

**Step-by-Step Development Plan:**
1. **Setup Environment**: Begin by setting up a virtual environment and installing the necessary packages including 'amsdal_utils'. Ensure you have all dependencies required for the application to run smoothly.
2. **User Interface Design**: Design a user-friendly command-line interface that allows users to interact with the application easily. Users should be able to input commands such as loading a dataset, performing basic data manipulations, and generating visualizations.
3. **Loading Datasets**: Implement functionality within 'DataAnalyzer' to allow users to load datasets from various file formats supported by AMSDAL, such as CSV, Excel, or JSON files.
4. **Data Manipulation**: Utilize 'amsdal_utils' to offer advanced data manipulation capabilities. Include features like filtering rows based on specific conditions, sorting data, and transforming columns.
5. **Visualization Tools**: Integrate visualization tools provided by 'amsdal_utils' to generate plots and charts directly from the command line. Ensure these visualizations are customizable according to user preferences.
6. **Saving Outputs**: Provide options for users to save their manipulated datasets and generated visualizations to their local storage.
7. **Testing and Documentation**: Thoroughly test your application to ensure it works as expected across different scenarios. Write comprehensive documentation detailing how to install, use, and contribute to 'DataAnalyzer'.

**Suggested Features**:
- Support for importing and exporting data in multiple formats.
- Advanced querying capabilities allowing complex data selections.
- Customizable plotting options including choosing plot types, colors, and labels.
- Error handling mechanisms to guide users through common mistakes.
- Integration with other popular Python data science libraries.

In this project, you will heavily rely on 'amsdal_utils' for its robust data management and visualization capabilities. Your objective is to showcase the versatility and power of the AMSDAL framework while providing a practical tool for real-world data analysis tasks.

💬 Discussion Feed

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