assimulo-testing

v3.9.0b2 safe
4.0
Medium Risk

A package for solving ordinary and differential-algebraic equations.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of obfuscation or credential harvesting. While there are some concerns regarding metadata and a new maintainer, these factors alone do not strongly suggest malicious activity.

  • No obfuscation patterns detected
  • No credential harvesting patterns detected
  • New maintainer with limited package history
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The presence of a non-HTTPS link and a new maintainer with limited package history raises some concerns but does not strongly indicate malicious intent.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

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

Some documentation present

  • Detailed PyPI description (2297 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ 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

  • 9 unique contributor(s) across 100 commits in modelon-community/Assimulo
  • 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 score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.unige.ch/~hairer/software.html
✓ Git Repository History

Repository modelon-community/Assimulo appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Modelon AB" 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 assimulo-testing
Create a mini-application that simulates and visualizes the behavior of a simple mechanical system, such as a spring-mass-damper system, using the 'assimulo-testing' package. This application will allow users to input parameters like mass, spring constant, and damping coefficient, and then simulate the motion over time, displaying the results both numerically and graphically.

### Features:
1. **Parameter Input**: Allow users to specify the mass (m), spring constant (k), and damping coefficient (c) of the system.
2. **Simulation Engine**: Utilize 'assimulo-testing' to solve the differential equation that describes the system's motion. The equation is mx'' + cx' + kx = 0, where x is the displacement from equilibrium.
3. **Visualization**: Display the simulation results in real-time on a line chart, showing how the displacement changes over time.
4. **Save Results**: Provide an option to save the simulation results as a CSV file for further analysis.
5. **Multiple Simulations**: Enable users to run multiple simulations with different parameters and compare their results side-by-side.
6. **Help Documentation**: Include a brief guide explaining the significance of each parameter and how they affect the system's behavior.

### How to Use 'assimulo-testing':
- Define the differential equation representing the system's dynamics.
- Set up the initial conditions for the simulation.
- Use 'assimulo-testing' to integrate these equations over time, generating a series of points representing the system's state at different times.
- Process and visualize these points to create an intuitive user interface that shows the simulation results.

This project aims to demonstrate the practical use of numerical methods in solving real-world problems involving dynamic systems.

💬 Discussion Feed

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