AI Analysis
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)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2297 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
9 unique contributor(s) across 100 commits in modelon-community/AssimuloActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.unige.ch/~hairer/software.html
Repository modelon-community/Assimulo appears legitimate
1 maintainer concern(s) found
Author "Modelon AB" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
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.
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