alicatlib

v0.3.0 safe
3.0
Low Risk

Python library for Alicat mass flow meters and controllers.

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with network usage, shell execution, and obfuscation. The metadata risk slightly increases due to incomplete maintainer information.

  • Low network and shell execution risks.
  • Incomplete maintainer information.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of unauthorized access.
  • Metadata: The maintainer's author information is incomplete and may indicate a less experienced or inactive developer.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://GraysonBellamy.github.io/alicatlib/
  • Detailed PyPI description (3992 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

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 327 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 42 commits in GraysonBellamy/alicatlib
  • 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: umd.edu>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository GraysonBellamy/alicatlib 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 alicatlib 
Create a real-time monitoring application using Python's 'alicatlib' package for Alicat mass flow meters and controllers. This application will allow users to connect to one or more Alicat devices, read real-time flow data, and control gas flow rates remotely. Additionally, the app will log the flow data to a local SQLite database and provide basic analytics such as average flow rate over a specified time period and alert notifications if the flow rate exceeds a user-defined threshold.

Steps to follow:
1. Set up your development environment with Python and install the 'alicatlib' package.
2. Design a simple GUI interface using Tkinter where users can input device serial numbers and connect to their respective Alicat devices.
3. Implement a function to periodically read flow data from connected devices and display it on the GUI in real-time.
4. Add functionality to control the flow rate of gases through the Alicat controller from the GUI.
5. Integrate a logging mechanism that saves the flow data to a SQLite database with timestamps.
6. Develop an analytics module that calculates the average flow rate over the last hour and displays it on the GUI.
7. Implement an alert system that notifies users via a pop-up message when the flow rate exceeds a certain threshold set by the user.
8. Ensure the application is robust and handles disconnections gracefully, notifying the user and attempting reconnection.
9. Document your code thoroughly and include comments explaining how each part of the application works, especially the integration of 'alicatlib'.

Features to consider:
- User-friendly GUI for easy interaction.
- Real-time graph plotting of flow data using matplotlib.
- Ability to configure multiple devices simultaneously.
- Customizable alert thresholds and notification types (email/SMS).
- Historical data analysis tools within the GUI.

This project aims to showcase the capabilities of 'alicatlib' while providing a practical tool for users managing multiple gas flow systems.