🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks across all categories, with no indications of network calls, shell executions, or credential harvesting. The metadata risk is slightly elevated but does not suggest any malicious activity.

No network calls detected
No shell execution patterns found
Metadata shows low-effort signs but no clear red flags

Per-check LLM notes

Network: No network calls detected, which is normal for most geoscience packages unless they require online data access.
Shell: No shell execution patterns detected, indicating the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some low-effort signs but lacks clear red flags.

🔬 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: geode-solutions.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with OpenGeode-Geosciences

Create a geoscientific data analysis tool using the 'OpenGeode-Geosciences' Python package. This tool will enable users to import, analyze, and visualize geoscientific datasets such as geological survey data, seismic measurements, and mineral composition data. The application should include the following core functionalities:

1. Data Importation: Users should be able to upload various types of geoscientific data files, including but not limited to CSV, GeoJSON, and binary formats commonly used in geoscientific research.
2. Basic Statistical Analysis: Implement functions to calculate basic statistics on the imported data, such as mean, median, mode, standard deviation, and range for different attributes like depth, temperature, pressure, etc.
3. Advanced Geoscientific Analysis: Utilize 'OpenGeode-Geosciences' to perform more complex analyses specific to geoscience, such as stratigraphic correlation, lithology classification, and seismic wavelet analysis.
4. Visualization Tools: Provide visual representations of the analyzed data through graphs, charts, and maps. Ensure these visualizations are interactive, allowing users to manipulate views, filter data, and explore correlations between different parameters.
5. Reporting: Allow users to generate reports summarizing their findings, including statistical results, visualizations, and any advanced analyses conducted.
6. Export Functionality: Enable users to export their final results in common file formats such as PDF, Excel, and image files.

In your development process, ensure you leverage the 'OpenGeode-Geosciences' package effectively by integrating its modules for handling geoscientific data structures, performing specialized calculations, and generating high-quality visual outputs. Additionally, consider implementing user-friendly interfaces and robust error handling mechanisms to enhance usability.