anyserial

v0.1.2 suspicious
4.0
Medium Risk

Low-latency async serial I/O for Python, built on AnyIO.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is flagged due to its anonymous author and new account status, raising concerns about potential malicious intent despite the absence of direct threats like network calls, obfuscation, or credential harvesting.

  • Anonymous author
  • New account with only one package
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: Use of pty functions suggests potential shell interaction which could be used for unexpected behavior or control.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The package shows some red flags, including an anonymous author with a short or missing name and a new account with only one package. However, there's no evidence of typosquatting or suspicious links.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 7 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://graysonbellamy.github.io/anyserial/
  • Detailed PyPI description (6688 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 7.0

Partial type annotation coverage

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

Active multi-contributor project

  • 3 unique contributor(s) across 45 commits in GraysonBellamy/anyserial
  • 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 score 4.0

Found 2 shell execution pattern(s)

  • "" controller, follower = pty.openpty() path = os.ttyname(follower) _apply_raw_mode(follow
  • "" controller, follower = pty.openpty() path = os.ttyname(follower) try: yield con
✓ 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 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 anyserial 
Create a real-time data logger application using the 'anyserial' Python package. This application will connect to a serial device (such as a sensor or microcontroller) and log incoming data to a file or database. Here are the steps and features you should include:

1. **Setup**: Begin by installing the necessary packages including 'anyserial' and any additional dependencies required for handling asynchronous operations and data storage.
2. **Configuration**: Allow users to configure the serial port settings such as baud rate, parity, stop bits, etc., either through a configuration file or command-line arguments.
3. **Connection**: Implement an asynchronous function to establish a connection with the serial device using the 'anyserial' package. Ensure the function handles exceptions gracefully and provides feedback if the connection fails.
4. **Data Reception**: Use 'anyserial' to asynchronously receive data from the serial device. The application should be able to handle continuous streams of data without blocking.
5. **Data Logging**: Develop functionality to log the received data. Options could include logging to a local file, a remote server via HTTP POST requests, or storing data in a SQL database.
6. **Real-Time Visualization**: Optionally, implement a feature to visualize the logged data in real-time using a library like Matplotlib or Plotly. This would allow users to monitor the data as it is being collected.
7. **User Interface**: If time permits, create a simple GUI using Tkinter or PyQt that allows users to start/stop the logging process, view logs, and adjust settings dynamically.
8. **Documentation & Testing**: Write comprehensive documentation explaining how to install and use the application. Include tests to ensure the application works correctly under different conditions.

In your implementation, demonstrate how 'anyserial' simplifies the process of performing low-latency, asynchronous serial I/O operations in Python.

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