AI Analysis
Final verdict: SAFE
The package shows low risks in network and shell activities. While the metadata suggests a potentially new maintainer, there are no additional red flags.
- Low network and shell risk
- Single package from maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal for a typical library like Aspose.Cells.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (2.4/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Docs" -> https://docs.aspose.com/cells/python-net/Detailed PyPI description (7836 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "aspose-cells" 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 aspose-cells-python
Create a Python-based utility named 'ExcelMaster' that allows users to efficiently manage their Excel files using the 'aspose-cells-python' package. This utility should offer a range of functionalities, including but not limited to file conversion, data extraction, and basic spreadsheet manipulation. Here’s a detailed breakdown of the project requirements: 1. **File Conversion**: Allow users to convert Excel files between various supported formats such as XLS, XLSX, XLSB, ODS, CSV, and HTML. For example, a user should be able to convert a CSV file into an XLSX file. 2. **Data Extraction**: Implement a feature where users can extract specific ranges of data from an Excel sheet into a Python dictionary or list. Users should be able to specify the cell range they want to extract. 3. **Spreadsheet Manipulation**: Enable users to perform basic spreadsheet manipulations like adding new rows or columns, updating cell values, and inserting formulas into cells. 4. **User Interface**: Develop a simple command-line interface (CLI) that guides users through each operation with clear prompts and instructions. 5. **Error Handling**: Ensure robust error handling mechanisms are in place to handle common issues like invalid file paths, unsupported formats, and incorrect cell references. 6. **Documentation**: Provide comprehensive documentation on how to use the CLI and integrate 'ExcelMaster' into other Python applications. The 'aspose-cells-python' package will be utilized throughout the project for its powerful Excel file manipulation capabilities. For instance, when converting files, you would use the package’s API to load the source file, make any necessary changes, and then save it in the desired format. Similarly, for data extraction, the package’s methods for accessing cell values will be leveraged. By the end of this project, users should have a versatile tool for managing their Excel files directly from the command line.
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