azarashi

v0.16.1 safe
3.0
Low Risk

QZSS DCR Decoder

🤖 AI Analysis

Final verdict: SAFE

The package azarashi v0.16.1 presents minimal risks with no detected network calls, shell executions, or obfuscations. The only notable concern is the maintainer's single package, which may suggest a new or less active developer.

  • No network calls detected
  • No shell execution patterns
  • Single package by maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account.

📦 Package Quality Overall: Low (4.2/10)

○ 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 (20239 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 100 commits in nbtk/azarashi
  • Active community — 5 or more distinct 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository nbtk/azarashi appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "nbtk" 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 azarashi 
Your task is to develop a Python-based mini-application named 'QZSS Signal Explorer' which will utilize the 'azarashi' package to decode and analyze data from the Quasi-Zenith Satellite System (QZSS). This application will serve as a tool for researchers, satellite enthusiasts, and developers interested in understanding the signals transmitted by the QZSS satellites. Here’s a detailed plan on how to proceed:

1. **Project Setup**: Start by setting up your Python environment and installing the 'azarashi' package. Ensure you have all necessary dependencies installed.
2. **Data Acquisition**: Implement a feature within your application to receive data streams from QZSS satellites. This could involve integrating with existing APIs or using software-defined radio (SDR) hardware if available.
3. **Decoding Mechanism**: Utilize the 'azarashi' package to decode the received data stream into meaningful information. Focus on extracting key parameters such as time, frequency, and signal strength.
4. **Analysis Tools**: Develop tools within your application to analyze the decoded data. Consider implementing functionalities like signal quality assessment, comparison of multiple satellite transmissions, and visualization of signal patterns over time.
5. **User Interface**: Design a simple yet effective user interface for your application. This UI should allow users to start/stop data acquisition, view real-time analysis results, and save/export data for further processing.
6. **Documentation & Testing**: Write comprehensive documentation explaining how to use your application, including setup instructions, usage guidelines, and troubleshooting tips. Conduct thorough testing to ensure reliability and accuracy of the decoding and analysis processes.
7. **Deployment**: Prepare your application for deployment. This might include packaging it as a standalone executable or preparing it for cloud deployment.

By following these steps, you'll create a valuable tool that not only showcases the capabilities of the 'azarashi' package but also provides practical insights into the workings of the QZSS system.

💬 Discussion Feed

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