AI Analysis
The package shows no signs of malicious activity, with low risks across all assessed categories. The metadata risk is slightly elevated due to non-HTTPS links and a single package from the maintainer, but this does not indicate a supply-chain attack.
- No network or shell execution detected
- No obfuscation or credential harvesting patterns
- Metadata risk due to non-HTTPS links and single package maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on query operations without external API integrations.
- Shell: No shell execution patterns detected, aligning with the expected behavior of a package designed for querying purposes.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, and there are non-HTTPS links which may pose security risks.
Package Quality Overall: Medium (6.2/10)
Test suite present — 11 test file(s) found
11 test file(s) detected (e.g. test_aggregates.py)
Some documentation present
Documentation URL: "Documentation" -> https://arches.readthedocs.ioDetailed PyPI description (14040 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
12 unique contributor(s) across 100 commits in archesproject/arches-querysetsActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
Found 3 suspicious link(s) on the package page
Non-HTTPS external link: http://archesproject.org/Non-HTTPS external link: http://www.archesproject.org/blog/static/42.pngNon-HTTPS external link: http://www.42.com/
Repository archesproject/arches-querysets appears legitimate
1 maintainer concern(s) found
Author "Arches Project" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'Arches Explorer' that leverages the 'arches-querysets' Python package to provide users with a powerful tool to explore and query business data within a Django-based Arches environment. The application should allow users to: 1. Authenticate using OAuth2 or JWT tokens. 2. Browse through different categories of business data available in the Arches database. 3. Perform complex queries on the data based on user-defined criteria. 4. Visualize the queried data in various formats such as tables, charts, and maps. 5. Export the queried data into common file formats like CSV, Excel, and JSON. 6. Save frequently used queries for future use. The 'arches-querysets' package will be crucial for expressing application logic, querying business data, and building APIs for the 'Arches Explorer'. Specifically, it will be used to: - Define and execute complex queries on the Arches data model. - Build API endpoints that return the queried data in various formats. - Implement pagination and filtering capabilities to handle large datasets efficiently. - Integrate with the Django framework seamlessly to ensure the application adheres to best practices. Your task is to design and develop the 'Arches Explorer' application from scratch, ensuring it is user-friendly and highly functional. Document your process and any challenges you face along the way.
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