Package Quality Overall: Low (3.6/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Docs" -> https://docs.aspose.com/imaging/python-net/Detailed PyPI description (12327 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
Limited contributor diversity
1 unique contributor(s) across 21 commits in aspose-imaging/Aspose.Imaging-for-Python-NETSingle author but highly active (21 commits)
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
All external links appear legitimate
Repository aspose-imaging/Aspose.Imaging-for-Python-NET appears legitimate
1 maintainer concern(s) found
Author "Aspose" 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 photo manipulation tool called 'ImageMorph' using the Aspose.Imaging for Python via .NET package. This tool will allow users to perform various image processing tasks such as resizing, rotating, cropping, applying filters, and converting between different image formats. The application should have a simple graphical user interface (GUI) built with Tkinter for ease of use. Here are the specific requirements for ImageMorph: 1. **Resizing**: Users should be able to resize their images by specifying new width and height values or selecting from predefined sizes like thumbnail, medium, and large. 2. **Rotation**: Implement a feature to rotate images clockwise or counterclockwise by a specified degree or by 90°, 180°, or 270°. 3. **Cropping**: Allow users to crop images by dragging a selection box over the area they wish to keep or inputting precise coordinates and dimensions. 4. **Filtering**: Provide basic image filters such as grayscale, sepia tone, and brightness/contrast adjustment. Users should be able to preview changes before applying them. 5. **Format Conversion**: Enable conversion of images between common formats including JPEG, PNG, BMP, GIF, TIFF, and SVG. 6. **Batch Processing**: Include an option for batch processing multiple images at once, applying the same operations to all selected files. For each feature, ensure that the application leverages the powerful functionalities provided by Aspose.Imaging for Python via .NET to handle image manipulations efficiently and effectively. Additionally, provide clear instructions on how to install and configure the Aspose.Imaging package in a Python environment.
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