AI Analysis
The package exhibits low risks in terms of network calls, shell execution, obfuscation, and credential handling. However, the metadata risk score is elevated due to the maintainer's new or inactive account and lack of associated GitHub repository.
- metadata risk due to new/inactive maintainer account
- absence of associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal for a library focused on local file processing.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account and there's no associated GitHub repository, which raises some suspicion but not enough to conclude malice.
Package Quality Overall: Low (2.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Docs" -> https://docs.aspose.com/cells/python-net/Detailed PyPI description (5408 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "aspose-cells" 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 web-based mini-application using Python and the 'aspose-cells-gridjs-net-python' package that allows users to upload an Excel file, view its contents, edit specific cells, and save changes back into a new Excel file. This application should provide a seamless experience for handling spreadsheet data without requiring any installation of Microsoft Excel on the user's device. Below are the steps and features your application should include: 1. **User Interface**: Design a clean and intuitive UI where users can easily navigate through their uploaded spreadsheets. 2. **File Upload**: Implement functionality that lets users upload Excel (.xlsx) files directly from their local system. 3. **View Spreadsheet Data**: Once a file is uploaded, display the content of the spreadsheet in a grid format similar to Excel, allowing users to scroll through large datasets efficiently. 4. **Cell Editing**: Enable users to edit cell values directly within the grid interface. Ensure that the application supports common operations such as adding, deleting, and modifying cell contents. 5. **Formula Support**: Incorporate support for basic formulas (e.g., SUM, AVERAGE). Users should be able to input formulas in cells, and the application should automatically calculate and update the results accordingly. 6. **Save Changes**: Provide an option for users to save their edited spreadsheet back to their local system. The saved file should retain all modifications made during the session. 7. **Error Handling**: Implement robust error handling to manage invalid inputs, file read/write errors, and other potential issues gracefully. 8. **Responsive Design**: Ensure that the application is responsive and works well on different screen sizes and devices. To achieve these functionalities, you will extensively use the 'aspose-cells-gridjs-net-python' package, leveraging its APIs to handle file uploads, data rendering, and cell editing operations. Additionally, integrate GridJS components provided by Aspose.Cells.GridJs for Python via .NET to create a rich interactive grid interface. This project aims to showcase the capabilities of 'aspose-cells-gridjs-net-python' in developing feature-rich web applications for spreadsheet manipulation.
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