aspose-cells

v26.5.0 safe
1.0
Low Risk

Aspose.Cells for Python via Java is a high-performance library that unleashes the full potential of Excel in your Python projects. It can be used to efficiently manipulate and convert Excel and spreadsheet formats including XLS, XLSX, XLSB, ODS, CSV, and HTML - all from your Python code. Amazingly, it also offers free support.

πŸ€– AI Analysis

Final verdict: SAFE

The package has no signs of obfuscation or credential harvesting, indicating it poses minimal risk. The analysis notes show a very low risk profile.

  • No obfuscation detected
  • No credential harvesting patterns
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

πŸ“¦ Package Quality Overall: Low (2.0/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4034 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—‹ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: aspose.com

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Aspose" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with aspose-cells
Create a Python-based mini-application named 'ExcelSheetManager' that leverages the Aspose.Cells library to provide advanced Excel file manipulation capabilities. This application will allow users to perform various operations on Excel files, such as merging multiple Excel files into one, splitting a large Excel file into smaller ones based on specific criteria, converting between different Excel file formats, and extracting data from specific sheets or ranges within an Excel file. Additionally, the app should be able to generate charts from the provided data and save these charts back into the Excel file. Here’s a detailed breakdown of the steps and functionalities you need to implement:

1. **Setup Environment**: Ensure you have Python installed along with the Aspose.Cells library. You might also want to include other necessary libraries like pandas for data handling.
2. **User Interface**: Develop a simple command-line interface (CLI) for user interaction. The CLI should present options like 'Merge Excel Files', 'Split Excel File', 'Convert File Format', 'Extract Data', and 'Generate Charts'.
3. **File Handling Functions**:
   - **Merging Excel Files**: Implement a function that takes multiple Excel files as input and merges them into a single output file, ensuring that each original file’s sheet names and contents are preserved.
   - **Splitting Excel File**: Create a function that splits a large Excel file into smaller files based on a specified number of rows or columns per file.
4. **Format Conversion**: Allow conversion between supported Excel formats (XLS, XLSX, XLSB, ODS, CSV, HTML) while maintaining the integrity of the data and any existing formatting.
5. **Data Extraction**: Design a feature where users can specify a range or a sheet name from which data needs to be extracted. The extracted data should then be saved to a new Excel file or another format.
6. **Chart Generation**: Include functionality to generate charts (such as bar charts, line charts, etc.) from the data within an Excel file and save these charts back into the same or a new Excel file.
7. **Error Handling and Validation**: Make sure your application handles errors gracefully, providing meaningful messages to users when something goes wrong, such as invalid file paths or unsupported file formats.
8. **Testing**: Write test cases to validate each functionality of your application, ensuring everything works as expected.
9. **Documentation**: Provide clear documentation on how to use the application, including setup instructions and examples of each feature in action.

By following these steps, you’ll create a versatile tool that can be used for managing and manipulating Excel files efficiently, all powered by the robust capabilities of Aspose.Cells.

πŸ’¬ Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!