assist

v1.2.3 safe
3.0
Low Risk

A library high accuracy ephemeris in REBOUND

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risk indicators with no network calls and no signs of credential harvesting or obfuscation. The use of a git command is likely for version control.

  • No network calls detected
  • Git command used for versioning
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: Git command used to retrieve commit hash, likely for versioning purposes.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Medium (5.0/10)

○ 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 (6636 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 10 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 9 unique contributor(s) across 100 commits in matthewholman/assist
  • 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 score 2.0

Found 1 shell execution pattern(s)

  • nfuse compilers). ghash = subprocess.check_output(["git", "rev-parse", "HEAD"]).decode("ascii").strip() gh
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: cfa.harvard.edu

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository matthewholman/assist appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Matthew Holman" 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 assist 
Create a space exploration simulation app using the 'assist' Python package. This app will allow users to visualize the positions of celestial bodies over time based on high-accuracy ephemeris data provided by the 'assist' package within the REBOUND framework. The application should have the following functionalities:

1. User Interface: Develop a simple yet intuitive graphical user interface (GUI) where users can select different celestial bodies from a dropdown menu.
2. Ephemeris Data Visualization: Once a celestial body is selected, the app should display its position in space at a specific point in time. Users should be able to input a date and time to see the position at that exact moment.
3. Time Slider: Implement a time slider that allows users to animate the movement of the celestial body over a specified period, showing how its position changes.
4. Customization Options: Allow users to customize the view by adjusting parameters such as zoom level, perspective angle, and whether to show other celestial bodies for context.
5. Save & Share Feature: Users should have the ability to save their current view as an image file or share it via social media directly from the app.

The 'assist' package will be crucial for obtaining accurate ephemeris data for the selected celestial bodies. Your task is to integrate this package effectively into your application to ensure that all visualizations are based on real astronomical data. Additionally, explore ways to enhance the user experience through interactive elements and informative tooltips about the celestial bodies being displayed.

💬 Discussion Feed

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