🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with low risks across multiple categories, including network, shell, obfuscation, and credential risks. The metadata suggests it might be from a newer or less active author, but this alone does not indicate malicious intent.

Low network risk
No shell execution detected
No obfuscation detected
No credential harvesting detected
Single package association in metadata

Per-check LLM notes

Network: The network call pattern suggests legitimate package update or version check functionality.
Shell: No shell execution patterns detected, indicating low risk.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The authors appear to be associated with only one package, which may indicate a new or less active account.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

latest" try: with urllib.request.urlopen(api_url, timeout=10) as resp: data = jso

✓ 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: physics.ox.ac.uk>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository hoppet-code/hoppet appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Frederic Dreyer, Alexander Karlberg, Paolo Nason, Juan Rojo, Gavin Salam, Giulia Zanderighi" 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 HOPPET

Your task is to create a mini-application that leverages the HOPPET package to simulate parton evolution processes in particle physics. This application will serve as a tool for physicists and students to explore perturbative QCD (Quantum Chromodynamics) through interactive simulations and visualizations. Here’s a detailed plan on how to approach this project:

1. **Project Overview**: Design a user-friendly interface where users can input parameters such as initial conditions, energy scales, and other relevant variables to simulate parton evolution.
2. **Core Functionality**:
- Implement functions using HOPPET to calculate parton distribution functions (PDFs) at different scales.
- Allow users to select from various perturbative orders available in HOPPET for their simulations.
3. **Interactive Features**:
- Develop a graphing module to visualize the PDFs over the range of input scales.
- Include a feature to compare different perturbative orders' effects on PDFs.
4. **Additional Features**:
- Provide a tutorial section explaining key concepts like parton evolution and perturbative QCD.
- Offer pre-defined scenarios based on real-world experiments or theoretical models for users to explore.
5. **User Interface**:
- Ensure the interface is intuitive and accessible to both experts and beginners in the field of particle physics.
6. **Documentation**:
- Write comprehensive documentation detailing how to install and use the application, including examples and troubleshooting tips.
7. **Testing and Validation**:
- Validate the simulation results against known benchmarks or experimental data to ensure accuracy.
8. **Deployment**:
- Package the application as a standalone executable or web-based tool for easy distribution.

The goal is to create a valuable educational and research tool that showcases the power of HOPPET while being accessible and engaging to a wide audience.