Best Component Libraries for Microsoft Excel

zeroheight helps teams create, manage and maintain their design systems. Using zeroheight, designers, engineers, and product teams can collaborate and build design systems that can be easily shared across teams. Create a centralized repository of styles, tokens, guidelines, code, components, and patterns, integrated and synced between the tools you already use. zeroheight makes maintaining consistency across different products easier and reduces the time and effort needed to stand up new brands and products confidently. We offer features that suit teams from startup to enterprise, from governance to analytics to automation.

The Adaptive Calculation Engine for Java ACE4J provides a reliable platform for converting Excel-based applications into web applications at a low cost, efficiently, and with guaranteed easy maintenance and support in the future. At the same time ACE4J is a modern formula language based on a robust and efficient calculation engine, that is capable of evaluating complex Excel formulas. Thus it is also a great tool for new Java based Web applications that require heavy calculations. The Adaptive Calculation Engine (ACE4J) is a Java API used to evaluate the formulas written in Microsoft Excel style. This engine provides the most popular Microsoft Excel functions which are frequently encountered in applications that require heavy calculations. The number of available formulas and features increases with every Adaptive Calculation Engine release based on feedback from our customers. Adaptive Calculation Engine is capable of evaluating thousands of formulas within seconds.

openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It was born from a lack of an existing library to read/write natively from Python in the Office Open XML format. All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel. By default, openpyxl does not guard against quadratic blowup or billion laughs XML attacks. To guard against these attacks install defusedxml. Install openpyxl using pip. It is advisable to do this in a Python virtualenv without system packages. Sometimes you might want to work with the checkout of a particular version. This may be the case if bugs have been fixed but a release has not yet been made. There is no need to create a file on the filesystem to get started with openpyxl. Just import the Workbook class and start work. Sheets are given a name automatically when they are created. Once you gave a worksheet a name, you can get it as a key of the workbook.

Enjoy the highest performance and unlimited possibilities when working with PostgreSQL. PostgreSQL Data Access Components (PgDAC) is a library of components that provides native connectivity to PostgreSQL from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. PgDAC is designed to help programmers develop really lightweight, faster, and cleaner PostgreSQL database applications without deploying any additional libraries. PgDAC is a complete replacement for standard PostgreSQL connectivity solutions and presents an efficient alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to PostgreSQL. It provides direct access to PostgreSQL without PostgreSQL Client. PgDAC allows developers to optimize their database applications and harness the full capabilities of PostgreSQL.

Dedupe.io is a powerful tool that learns the best way to find similar rows in your data. Using cutting-edge research in machine learning we quickly and accurately identify matches in your Excel spreadsheet or database—saving you time and money. In today’s world of big data, there’s never been more information available to work with. Unfortunately, all this data is hard to use, especially if it’s been entered by hand or comes from different systems. The simple task of figuring out who is who in a spreadsheet or database can be a daunting, time-consuming task. That’s where Dedupe.io comes in. We developed the best dynamic and scalable solution for de-duplicating and linking datasets, and built a simple step-by-step wizard for anyone to use it.

xlrd is a library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files. xlrd is a library for reading data and formatting information from Excel files in the historical .xls format. This library will no longer read anything other than .xls files. Ignores charts, macros, pictures, any other embedded object, including embedded worksheets, VBA modules, and formulas, but results of formula calculations are extracted, comments, hyperlinks, auto filters, advanced filters, pivot tables, conditional formatting, and data validation. Password-protected files are not supported and cannot be read by this library. From the command line, this will show the first, second, and last rows of each sheet in each file. xlrd is licensed under the BSD license.

With BuildVu, you’ll unlock precise PDF-to-HTML/SVG conversion, giving you greater control and added functionality over PDF in your web application. -Optimized Content: BuildVu intelligently converts PDFs, optimizing for smaller file sizes and fast rendering in browsers. -File Metadata: Access PDF data in JSON format, including metadata, word lists, outlines (bookmarks), and annotations. -Thumbnails: Generate high-quality page thumbnails with customizable dimensions. -Annotations: Enjoy support for various annotation types (Links, Popups, Sound/Video, Text, Highlight, Underline) in easy-to-use JSON format. -search.json: Extract all text from the document alongside the HTML content. -Font Conversion: Restructure embedded fonts for compatibility across web browsers. -Office Conversion: Combine BuildVu with LibreOffice for seamless conversion from Office formats (Word, PowerPoint, Excel).

Jspreadsheet is a robust full-stack JavaScript data grid solution that directly integrates the functionality and user-friendly experience of spreadsheet applications like Excel and Google Sheets into your web applications. It offers a smooth, efficient user interface, enabling batch actions, table manipulation, and a host of other features that ensure flawless compatibility between your web application and Excel/Sheets. This familiar environment enhances productivity, simplifies user adoption, and minimizes the need for extensive training. Jspreadsheet is a comprehensive solution designed to meet a variety of application requirements in spreadsheet and data management for web platforms. It optimizes workflow development, streamlines process automation, and facilitates the smooth transition of tasks from Excel to the web. Additionally, Jspreadsheet provides a wide range of extensions to address diverse needs within the data grid and spreadsheet ecosystem, making it a versatile choice.