Log In

Npm Excel Libraries

Most Popular Npm Excel Libraries

NameSizeLicenseAgeLast Published
xlsx2.33 MBApache-2.09 Years24 Mar 2022
file-type21.57 kBMIT9 Years4 Jun 2023
exceljs5.23 MBMIT8 Years21 Aug 2021
node-xlsx4.84 kBApache-2.010 Years25 May 2023
excel4node284.15 kBMIT9 Years2 May 2023
docxtemplater205.4 kBMIT9 Years6 Sep 2023
react-csv11.52 kBMIT7 Years18 Jan 2022
handsontable3.3 MBSEE LICENSE IN LICENSE.txt7 Years31 Aug 2023
xlsx-populate3.35 MBMIT8 Years1 Mar 2020
excel-export12.81 kBBSD10 Years9 Feb 2016
textract34.83 kBMIT10 Years3 Jun 2019
officegen1.91 MBMIT10 Years6 Mar 2021
xlsx-style1.35 MBApache-2.08 Years25 May 2016
xls-to-json2.64 kBMIT9 Years1 Jun 2022
excel45.93 kBMIT11 Years12 Sep 2019

When are Excel Libraries Useful?

Excel libraries in JavaScript, especially those utilized through the npm package manager, are beneficial in numerous scenarios. Fundamentally, these libraries are utilized to read, write, and manipulate Excel files directly within a JavaScript application.

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.

What Functionalities Do Excel Libraries Usually Have?

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:

  1. File Reading and Writing: They can read and write Excel files in different formats such as XLSX, CSV, JSON, and more.

  2. Data Manipulation: They allow for data manipulation within Excel files, where developers can add, delete, or edit the data in cells, rows, or columns.

  3. 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.

  4. 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.

  5. Formulas and Calculations: Some libraries offer the ability to add formulas to cells and perform calculations - a key feature of Excel.

Gotchas/Pitfalls to Look Out For

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:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.