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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