AI Analysis
Final verdict: SAFE
The package shows minimal risk with no network calls, shell executions, or credential harvesting attempts. The metadata risk is slightly elevated due to the maintainer having only one other package.
- No network calls detected
- Single package maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires online resources.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one other package, suggesting a new or less active account which may warrant further investigation.
Package Quality Overall: Medium (6.8/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
Test runner config found: pyproject.toml
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://albumentations.ai/docs/Detailed PyPI description (38685 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
7.0
Partial type annotation coverage
Classifier: Typing :: Typed848 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
7 unique contributor(s) across 100 commits in albumentations-team/AlbumentationsXActive community — 5 or more distinct contributors
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository albumentations-team/AlbumentationsX appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Vladimir Iglovikov" 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 albumentationsx
Create a simple yet powerful image augmentation tool using the Python package 'albumentationsx'. This tool will allow users to upload an image and apply various augmentation techniques such as flipping, rotation, scaling, and color transformations. The goal is to demonstrate the flexibility and power of 'albumentationsx' in preparing data for machine learning models. Step 1: Set up your development environment by installing necessary packages including 'albumentationsx', 'Flask' for web serving, and 'Pillow' for image handling. Step 2: Design a user-friendly interface where users can upload an image and select from a list of augmentation options provided by 'albumentationsx'. These options include but are not limited to horizontal/vertical flips, rotations, scaling, brightness/contrast adjustments, and color jittering. Step 3: Implement the backend functionality that takes the selected augmentation parameters, applies them to the uploaded image using 'albumentationsx', and returns the augmented image to the user. Step 4: Enhance the application by adding features like batch processing (apply same transformation to multiple images), saving the augmented images directly to disk, and allowing users to download the processed images. Step 5: Test the application thoroughly to ensure it handles all edge cases and provides a smooth user experience. Document the steps and any challenges faced during implementation, along with solutions found.