astro-emulators-toolkit

v0.1.0 suspicious
5.0
Medium Risk

General-purpose astrophysical emulators: spectra, isochrones, and more.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some unusual patterns that raise suspicion, particularly concerning its metadata and potential shell execution risks. However, there's no concrete evidence of malicious activity.

  • Suspiciously low activity and a single version.
  • Potential shell execution risks.
Per-check LLM notes
  • Network: No network calls were detected, which is typical and not indicative of malicious activity.
  • Shell: The detected shell execution patterns appear to be related to git operations, likely for version control purposes, but could potentially be exploited if the commands are not properly sanitized or controlled.
  • Obfuscation: The code snippet appears to be obfuscated but does not show clear signs of malicious intent; it seems to handle imports.
  • Credentials: No suspicious patterns for credential harvesting were detected.
  • Metadata: Suspiciously low activity and a single version indicate potential risk, but insufficient evidence for definitive malicious intent.

📦 Package Quality Overall: Low (3.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/RozanskiT/astro-emulators-toolkit#readme
  • Detailed PyPI description (43593 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 412 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in RozanskiT/astro-emulators-toolkit
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • ne: try: module = __import__(module_name) except ImportError: return None version = g
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • mp_dir) / "SOAP_JAX" subprocess.run(["git", "clone", UPSTREAM_URL, str(repo_dir)], check=True)
  • po_dir)], check=True) subprocess.run( ["git", "-C", str(repo_dir), "checkout", UPSTRE
  • t() -> str | None: proc = subprocess.run( ["git", "rev-parse", "HEAD"], capture_output=True,
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 2 total
  • Single contributor with only 2 commit(s) — possibly throwaway account
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Tomasz Rozanski" 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 astro-emulators-toolkit 
Create a mini-application named 'AstroSpectraExplorer' using the Python package 'astro-emulators-toolkit'. This tool aims to help astronomers and astrophysicists visualize and analyze spectral data from various celestial objects such as stars, galaxies, and nebulae. The application will utilize the package's capabilities to generate synthetic spectra based on input parameters like temperature, luminosity, and metallicity.

Step-by-Step Requirements:
1. **Setup**: Initialize a new Python environment and install necessary packages including 'astro-emulators-toolkit', matplotlib for plotting, and numpy for numerical operations.
2. **User Interface**: Develop a simple command-line interface (CLI) that allows users to input parameters for generating synthetic spectra. Consider adding options for different types of stellar spectra (O-type, B-type, etc.).
3. **Spectral Generation**: Use 'astro-emulators-toolkit' to generate synthetic spectra based on user inputs. Ensure that the generated spectra are accurate and reflect real-world astrophysical phenomena.
4. **Visualization**: Implement functionality to plot the generated spectra using matplotlib. Allow users to customize the plots (e.g., line colors, labels).
5. **Save and Export**: Add the ability for users to save their generated spectra and plots as files (CSV for spectra, PNG for plots).
6. **Documentation**: Write clear documentation explaining how to use 'AstroSpectraExplorer', including examples and explanations of the parameters used in generating synthetic spectra.
7. **Testing**: Test the application thoroughly with different sets of input parameters to ensure reliability and accuracy of the generated spectra.
8. **Enhancements**: Consider adding advanced features such as comparison with real astronomical data, or integration with other astrophysical datasets.

Suggested Features:
- Interactive CLI with validation checks for input parameters.
- Real-time plotting updates as parameters change.
- Option to overlay multiple spectra for comparative analysis.
- Integration with external databases of real astronomical spectra for direct comparison.

How 'astro-emulators-toolkit' is Utilized:
- The core functionalities of 'astro-emulators-toolkit' will be leveraged to compute synthetic spectra based on user-defined parameters. Users will interact with these functions through the CLI, providing inputs such as temperature, luminosity, and metallicity. The toolkit's spectral generation capabilities will then be used to produce accurate representations of stellar spectra, which can be visualized and saved by the user.

💬 Discussion Feed

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