arthexis

v0.8.0 suspicious
4.0
Medium Risk

Energy & Power Infrastructure

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low individual risks but the incomplete author information and potentially inactive maintainer raise concerns about its legitimacy and maintenance.

  • Incomplete author information
  • Possibly inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The author information is incomplete, and the maintainer seems to be new or inactive, which raises some suspicion but does not conclusively indicate malice.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • 8 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (12366 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

  • 43 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in arthexis/arthexis
  • Two distinct contributors found

🔬 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: gelectriic.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository arthexis/arthexis appears legitimate

⚠ 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 arthexis 
Create a web-based dashboard application using Python's 'arthexis' package to monitor and analyze energy consumption patterns in real-time. This application will serve as a tool for energy managers and engineers to gain insights into power usage across different infrastructures such as residential buildings, commercial complexes, and industrial plants. The application should include the following core functionalities:

1. **Real-Time Data Visualization**: Integrate arthexis to fetch live data on power consumption from various sources and display it in interactive charts and graphs. Use libraries like Plotly or Matplotlib for visualization.
2. **Energy Consumption Analysis**: Implement algorithms to analyze trends in energy consumption over time. Utilize arthexis’s analytical tools to identify peak usage hours, calculate total energy consumed, and estimate potential savings.
3. **Alert System**: Set up alerts based on predefined thresholds for energy usage. If consumption exceeds these limits, send notifications via email or SMS to the relevant personnel.
4. **User Management**: Allow multiple users to access the dashboard with different levels of permissions. Some users might only have viewing rights, while others could modify settings or add new data sources.
5. **Data Export**: Provide functionality to export analyzed data into CSV or Excel formats for further analysis or record-keeping purposes.
6. **Responsive Design**: Ensure the dashboard is responsive, working seamlessly on both desktops and mobile devices.

To achieve these objectives, you'll need to utilize arthexis's capabilities for handling energy data, its analytical functions, and any other specific features it offers for managing infrastructure-related datasets. Additionally, consider integrating Flask or Django for the backend, and Bootstrap or Tailwind CSS for styling the frontend.

💬 Discussion Feed

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