Spreadsheetsのニュース

EPPlus is a powerful and versatile .NET library for managing and manipulating Microsoft Excel files using the Office Open XML (OOXML) format. It is a lightweight and efficient library that is easy to use and can be integrated into a wide range of applications. It allows developers to create, read and modify spreadsheets without dependencies on any other library. Features include pivot tables, styling, VBA/Form controls, conditional formatting, charts, tables, formula calculation, data validation, pictures/shapes, and more.

The EPPlus v7.2.0 update adds support for calculating and fetching data from pivot tables, allowing .NET developers to enhance the data analysis capabilities of their applications. This feature allows developers to dynamically summarize, analyze, and present large datasets by creating and manipulating pivot tables programmatically. It includes the ability to define calculations (sum, average, etc.) for rows and columns, format values as percentages or differences, and apply various filters (captions, numbers, dates, etc.) and sorting options. This streamlines data analysis workflows and fosters greater control over the final spreadsheet output, empowering developers to deliver more powerful data-driven solutions.

To see a full list of what's new in v7.2.0, see our release notes.

EPPlus is licensed per developer and is available as both perpetual licenses and subscription based licenses with periods of 1 year and 2 years, which include support and upgrades. See our EPPlus licensing page for full details.

For more information, see our EPPlus product page.

IronXL for Python via .NET by Iron Software is a Python Excel library designed to enable Python developers to manipulate, read and generate Microsoft Excel files easily by leveraging the .NET framework. It allows them to integrate Excel functionality into Python applications without requiring Microsoft Office or Excel Interop to be installed on the server or client machines. This standalone solution provides a comprehensive API for reading, creating, and editing Excel files (XLS, XLSX, XLSM, CSV, TSV, etc.) directly from Python code.

IronXL offers a compelling alternative for developers seeking an efficient and versatile solution for spreadsheet manipulation in Python environments. It facilitates the automation of report generation, data analysis, and financial modeling, all within a familiar Excel format but executed through Python scripts. It simplifies complex tasks like data import/export, formatting control, and chart generation, making it ideal for automating spreadsheet-related workflows across various industries, from data analysis and reporting to financial modeling and content generation. The use cases for IronXL span various industries including finance, research, education, and healthcare, where users need to merge, split, and export data while maintaining the integrity and formatting of their spreadsheets.

IronXL for Python via .NET is licensed based on the number of developers, organization locations and projects, and is available as a perpetual license with one free year of product updates and support services. See our IronXL for Python via .NET licensing page for full details.

For more information, see our IronXL for Python via .NET product page.