apantias

v2.0.7 suspicious
4.0
Medium Risk

Tools for analysis of data from the DANAE experiment on HEPHY

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks for obfuscation and credential harvesting, but the metadata risk due to low repository activity and limited maintainer history raises some concerns.

  • Low obfuscation risk
  • Low credential risk
  • Potential metadata risk due to low maintainer activity
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's low activity and the maintainer's limited history suggest potential risks, but there is no clear evidence of malicious intent.

📦 Package Quality Overall: Low (3.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

  • 67 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in shakamaran/apantias
  • 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: gmx.at>

✓ 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 apantias 
Create a mini-application that allows researchers to analyze and visualize data from the DANAE experiment using the 'apantias' Python package. This application should be designed to simplify the process of accessing, processing, and interpreting complex experimental data, making it accessible even to those without deep expertise in high-energy physics. Here’s a detailed breakdown of the requirements:

1. **Data Access**: Implement functionality to load datasets directly from a specified source or upload files locally. Ensure the app supports multiple file formats commonly used in scientific research.
2. **Data Processing**: Utilize 'apantias' to perform essential preprocessing tasks such as cleaning, normalization, and transformation of raw data into a format suitable for analysis.
3. **Statistical Analysis**: Integrate 'apantias' tools to conduct various statistical analyses specific to the DANAE experiment, including but not limited to correlation analysis, hypothesis testing, and regression models.
4. **Visualization**: Provide users with the ability to generate interactive plots and charts to better understand their data. These visualizations should be customizable, allowing adjustments to scales, colors, and other graphical elements.
5. **Report Generation**: Enable users to create comprehensive reports summarizing their findings. Reports should include key metrics, visualizations, and explanatory text.
6. **User Interface**: Design an intuitive GUI using modern web technologies (e.g., Flask for backend and HTML/CSS/JavaScript for frontend). The interface should be user-friendly, offering clear navigation and guidance through each step of the analysis process.
7. **Documentation**: Include thorough documentation detailing how to install the application, use its features, and interpret results. Also, provide context about the DANAE experiment and how 'apantias' supports its analysis.

By completing this project, you will have developed a valuable tool for researchers working with the DANAE dataset, streamlining their workflow and enhancing their ability to derive meaningful insights from experimental data.

💬 Discussion Feed

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