AI Analysis
The package shows minimal risks across all assessed categories with no detected network calls or credential mishandling. The subprocess execution requires further review but does not alone indicate malicious activity.
- Low network and obfuscation risks
- No credential harvesting detected
- Subprocess execution needs review
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package relies on external services.
- Shell: Subprocess execution may be legitimate for tasks like code formatting, but should be reviewed to ensure it does not execute unintended commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
Package Quality Overall: Medium (6.2/10)
Test suite present — 5 test file(s) found
5 test file(s) detected (e.g. test_alliance_ui_form.py)
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed67 type-annotated function signatures detected in source
Active multi-contributor project
7 unique contributor(s) across 100 commits in AllianceSoftware/alliance-platform-pyActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
f run_prettier(code): p = subprocess.run( [ str(ap_frontend_settings.NODE_MODULES
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: alliancesoftware.com.au>
All external links appear legitimate
Repository AllianceSoftware/alliance-platform-py appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 'Alliance Dashboard' using Django and the 'alliance-platform-ui' package. This application will serve as a user-friendly interface for managing various aspects of a hypothetical organization, such as teams, projects, and tasks. It should allow users to log in, view their assigned tasks, update task statuses, and manage team members and projects they are part of. Key Features: 1. User Authentication - Implement login and logout functionality. 2. Task Management - Users can view, create, edit, and delete tasks. 3. Team Management - Users can view and manage teams they belong to. 4. Project Management - Users can view, create, edit, and delete projects. 5. Real-Time Updates - Use websockets to provide real-time updates on task changes. 6. Customizable Interface - Utilize the 'alliance-platform-ui' package to customize the look and feel of the dashboard. How to Use 'alliance-platform-ui': - Integrate the 'alliance-platform-ui' package into your Django project to enhance the front-end templates and provide additional templatetags for customization. - Customize the dashboard layout and design using the provided templatetags to improve user experience and visual appeal. - Ensure that the final product is responsive and accessible across different devices and screen sizes.