|xlsx||2.33 MB||Apache-2.0||9 Years||24 Mar 2022|
|file-type||21.57 kB||MIT||9 Years||4 Jun 2023|
|exceljs||5.23 MB||MIT||8 Years||21 Aug 2021|
|node-xlsx||4.84 kB||Apache-2.0||10 Years||25 May 2023|
|excel4node||284.15 kB||MIT||9 Years||2 May 2023|
|docxtemplater||205.4 kB||MIT||9 Years||6 Sep 2023|
|react-csv||11.52 kB||MIT||7 Years||18 Jan 2022|
|handsontable||3.3 MB||SEE LICENSE IN LICENSE.txt||7 Years||31 Aug 2023|
|xlsx-populate||3.35 MB||MIT||8 Years||1 Mar 2020|
|excel-export||12.81 kB||BSD||10 Years||9 Feb 2016|
|textract||34.83 kB||MIT||10 Years||3 Jun 2019|
|officegen||1.91 MB||MIT||10 Years||6 Mar 2021|
|xlsx-style||1.35 MB||Apache-2.0||8 Years||25 May 2016|
|xls-to-json||2.64 kB||MIT||9 Years||1 Jun 2022|
|excel||45.93 kB||MIT||11 Years||12 Sep 2019|
They become particularly crucial when developing applications that target business settings, as Excel files are widely used in industries for data visualization, accounting, data analysis, and more. Developers use them to automate Excel tasks such as creating reports, importing or exporting data from other sources, and performing complex calculations without having to switch between your application and Excel software.
Moreover, Excel libraries can also serve useful in data preprocessing in ML projects, software testing where data is set in excel sheets, or when creating APIs that receive or return Excel files as responses.
The functionalities of these libraries typically revolve around creating and manipulating various aspects of an Excel spreadsheet. Here are some common functionalities that most Excel libraries tend to have:
File Reading and Writing: They can read and write Excel files in different formats such as XLSX, CSV, JSON, and more.
Data Manipulation: They allow for data manipulation within Excel files, where developers can add, delete, or edit the data in cells, rows, or columns.
Workbook and Worksheet Operations: Excel libraries often provide the ability to create, delete, or modify worksheets within a workbook. They also tend to have the functionality to sort, filter, or query data.
Formatting and Styling: Many libraries provide the ability to apply styling and formatting to cells, such as number formatting, font styles, background color, and border style, among others.
Formulas and Calculations: Some libraries offer the ability to add formulas to cells and perform calculations - a key feature of Excel.
While Excel libraries provide developers with powerful abilities to interact with Excel files, they also come with a few potential pitfalls that developers should be aware of:
Performance: Working with large Excel files or performing complex operations could lead to performance issues in your application. It's essential to evaluate libraries based on their performance when used at scale.
Complexity: Some libraries provide a lot of features but at the cost of a steeper learning curve or more verbose code. Always balance your specific needs with the simplicity of the library's api.
Compatibility: Since Excel files can come in different formats (like .xls and .xlsx), a library that doesn't support all the Excel file formats you need could cause issues. Check the kind of file formats the library supports before choosing one.
Dependency Updates: As npm packages, Excel libraries depend on node.js versions and can be subject to frequent updates or, on the contrary, lack of maintenance. Choose a regularly updated library to avoid future compatibility issues and benefit from improvements and security fixes.
Software Dependencies: Beware of libraries with many dependencies, as these can cause larger bundle sizes if you're building front-end applications or potential security vulnerabilities.