🤖 AI Analysis

Final verdict: SAFE

The package PyTransit v2.7.1 shows no signs of malicious behavior based on the provided analysis notes. It poses minimal risk to systems and networks.

No network calls detected.
No shell execution detected.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution detected, indicating the package likely does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 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

Email domain looks legitimate: gmail.com>

⚠ Suspicious Page Links score 10.0

Found 7 suspicious link(s) on the package page

Non-HTTPS external link: http://img.shields.io/badge/license-GPLv2-blue.svg?style=flat
Non-HTTPS external link: http://www.gnu.org/licenses/gpl-2.0.html
Non-HTTPS external link: http://mnras.oxfordjournals.org/content/450/3/3233
Non-HTTPS external link: http://img.shields.io/badge/arXiv-1504.07433-blue.svg?style=flat
Non-HTTPS external link: http://arxiv.org/abs/1504.07433
Non-HTTPS external link: http://ascl.net/1505.024

✓ Git Repository History

Repository hpparvi/PyTransit appears legitimate

⚠ 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 PyTransit

Your task is to develop a mini-application that allows astronomers and researchers to model exoplanet transit light curves using the 'PyTransit' package. This tool will enable users to input various parameters related to their star system, such as the radius of the star, the orbital period of the exoplanet, the semi-major axis of the orbit, and the inclination angle. The application should then generate a transit light curve based on these inputs, allowing for the simulation of how the brightness of the star would change over time as the exoplanet passes in front of it.

Key Features:
1. User Interface: Create a simple yet intuitive web-based interface where users can input the necessary parameters for their star system.
2. Parameter Input: Users should be able to specify the radius of the star, the orbital period of the exoplanet, the semi-major axis of the orbit, and the inclination angle.
3. Light Curve Generation: Utilize PyTransit to compute and plot the transit light curve based on the provided parameters. Ensure that the output is visually appealing and informative.
4. Customization Options: Allow users to customize the appearance of the light curve graph, including color schemes, line styles, and grid options.
5. Save & Share: Provide functionality for users to save their generated light curves locally or share them via a link.
6. Documentation: Include a brief tutorial or documentation explaining how to use the application effectively, along with examples of typical parameter values.

How PyTransit is Used:
- Import PyTransit at the beginning of your code to access its functionalities.
- Use PyTransit's functions to calculate the transit light curve based on the user's inputs.
- Integrate PyTransit's plotting capabilities into your application to display the results.

This project aims to provide a practical tool for astronomers and students to explore exoplanet transits and understand the underlying physics of these phenomena.