analysis-ros

v0.1.1 safe
3.0
Low Risk

Analysis tools for ROS logs.

🤖 AI Analysis

Final verdict: SAFE

The package poses minimal risks as it lacks network calls, shell executions, obfuscation, and credential harvesting activities. The metadata suggests a new or less active maintainer but does not raise significant concerns.

  • No network calls
  • No shell executions
  • No obfuscation
  • No credential harvesting
Per-check LLM notes
  • Network: No network calls suggest the package does not engage in external communications, which is typical and safe unless specific network features are expected.
  • Shell: No shell executions indicate the package does not execute system commands, reducing the risk of unauthorized access or system manipulation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, but there are no other red flags.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (327 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

  • 3 type-annotated function signatures (partial)
○ 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: is4s.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "IS4S" 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 analysis-ros 
Your task is to create a fully-functional mini-application named 'RosLogAnalyzer' using the Python package 'analysis-ros'. This application will serve as a powerful tool for analyzing ROS (Robot Operating System) logs, providing insights into system performance and aiding in debugging complex robotic applications. Here’s a step-by-step guide on what your application should achieve:

1. **Setup**: Begin by setting up a Python environment where you can install the 'analysis-ros' package. Ensure you have ROS installed and properly configured.
2. **Core Functionality**: Implement the main functionality of your application which involves reading and parsing ROS log files. Utilize the 'analysis-ros' package to extract key metrics such as message frequency, node communication patterns, and any anomalies or errors detected in the logs.
3. **Visualization**: Create visual representations of the analyzed data. Use libraries like Matplotlib or Seaborn to plot graphs showing node activity over time, message frequencies, and error distributions.
4. **Interactive Interface**: Develop a simple GUI using PyQt or Tkinter that allows users to select the ROS log file they want to analyze and display the results interactively. Include options to filter logs based on severity levels (info, warning, error).
5. **Advanced Features**: Consider adding advanced features such as real-time monitoring of ROS nodes, comparison of multiple log files, and export options for the analysis results (CSV, JSON).
6. **Documentation**: Write comprehensive documentation detailing how to use 'RosLogAnalyzer', including setup instructions, usage examples, and explanations of all features.
7. **Testing & Validation**: Test your application thoroughly with different types of ROS logs to ensure it works correctly across various scenarios.

The 'analysis-ros' package plays a crucial role in this project by offering robust methods for parsing ROS log files and extracting meaningful data. Your goal is to leverage these capabilities to build a user-friendly and efficient tool for ROS developers.

💬 Discussion Feed

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