🤖 AI Analysis

Final verdict: SAFE

The package CensusForge v1.0.0 presents a low risk profile with no evidence of malicious activities such as shell execution or credential harvesting. The network and metadata risks are slightly elevated but do not indicate a supply-chain attack.

Low risk scores across all categories except network and metadata.
No signs of malicious intent detected.

Per-check LLM notes

Network: The presence of network calls to fetch JSON data suggests the package is designed to retrieve datasets, which aligns with its name 'CensusForge'. However, ensure the URLs are trusted.
Shell: No shell execution patterns were detected, indicating a low risk for direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, but there are no clear indicators of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

str): return np.array(requests.get(url).json()) def get_all_datasets(self): """

✓ 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: upr.edu>

✓ 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 CensusForge

Create a demographic analysis tool using the Python package 'CensusForge'. This tool will allow users to input geographic areas of interest (e.g., cities, counties, states) and retrieve detailed demographic data from the U.S. Census Bureau. The application should be designed to provide insights into population statistics such as age distribution, race, income levels, and education attainment. Additionally, it should offer visualizations of the data to make it easier for users to understand trends and patterns.

### Features:
1. **User Input:** Allow users to enter specific geographic locations.
2. **Data Retrieval:** Use 'CensusForge' to fetch relevant demographic data from the U.S. Census Bureau.
3. **Data Cleaning:** Clean and preprocess the retrieved data to ensure accuracy and consistency.
4. **Data Analysis:** Perform basic statistical analysis on the data, such as calculating mean, median, and mode for various demographic categories.
5. **Visualization:** Provide graphical representations of the data using libraries like Matplotlib or Seaborn. Include charts such as bar graphs, pie charts, and line graphs.
6. **Report Generation:** Create PDF reports summarizing the findings from the analysis, including key metrics and visualizations.
7. **Interactive Interface:** Develop a simple web-based interface using Flask or Django where users can interact with the application.
8. **Documentation:** Ensure comprehensive documentation is provided for both the codebase and the usage instructions for the application.

### Utilization of 'CensusForge':
- Use 'CensusForge' to query and retrieve demographic data based on user inputs. Ensure that the package is utilized efficiently to handle large datasets and complex queries. Integrate error handling mechanisms to manage any issues arising from invalid or incomplete data requests.