
MobiPDF (formerly PDF Extra) is an intuitive reader and editor that allows you to read, edit, create, OCR, organize, annotate, fill and sign, convert, and share any PDF. This makes MobiPDF an excellent choice for users seeking a budget-friendly alternative to Adobe Acrobat Pro.
HERE’S WHAT YOU GET WITH MOBIPDF:
Multiple Page View Modes: Enjoy a distraction-free "Read Mode".
Advanced Editing Tools: Experience a Word-like PDF editing environment.
Two-Way Conversions: Convert PDFs to and from Word, Excel, PowerPoint, or image formats.
OCR Support: Make scanned documents searchable.
Markup Tools: Highlight, comment, strikethrough, stamp, and more to enhance your documents.
Effortless PDF Organizer: Reorder, compress, split, and combine PDFs with ease.
Sign & Secure: Add signatures, create and fill forms, and protect your PDFs with passwords, encryption, and digital certificates.
Offline Mode: Work freely on your projects, even offline.
Seamless translation: One-click translate any PDF into 50+ languages.
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You know the pain. 8,000+ formulas in your Excel budget, any one of which could break. Department heads emailing versions back and forth. Mystery errors appearing right before board meetings. Weekends lost hunting for that one number that doesn't add up.
We built Budgyt because we lived that nightmare as CFOs ourselves.
It's a true database that works like Excel, so your team doesn't need training. But formulas never break. Every number traces back to source with one click. Import your chart of accounts and actuals directly from your accounting system. Click any variance to drill down to vendor-level detail instantly. Run rolling reforecasts every month without rebuilding everything from scratch.
We connected it via API so you're up and running in hours, not spending months on implementation consulting.
Built for multi-department organizations where budgeting needs to be collaborative, but the finance team needs to stay in control. No more emailing spreadsheets around. No more "did I break something?" panic. Just budgeting that actually works.
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WebDataRocks
WebDataRocks is a user-friendly and free JavaScript library designed for the creation of efficient pivot tables, compatible with frameworks such as Angular, Vue, and React.
It boasts several advantages, including being free of charge and highly customizable, as well as functioning as a JavaScript-based client-side component that can handle 1MB of JSON or CSV data files.
Equipped with a comprehensive array of enterprise-level features, WebDataRocks seamlessly integrates with various third-party charting libraries to enhance data visualization capabilities.
The library includes functionalities like filtering, sorting, grouping, conditional and number formatting, and calculated values, making it an effective tool for managing and analyzing data.
Additionally, users can easily print or export their reports to formats like PDF, Excel, or HTML with just a single click, which streamlines the reporting process significantly.
Offering a modern and aesthetically pleasing user interface similar to a spreadsheet, the tool is optimized for both web browsers and applications, ensuring a reliable and enjoyable user experience while working with data.
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openpyxl
Openpyxl is a Python library designed for reading and writing Excel 2010 files in formats such as xlsx, xlsm, xltx, and xltm. The library was developed due to the absence of a native solution for handling Office Open XML files in Python, and it owes its origins to the PHPExcel project. It is important to note that openpyxl does not provide protection against certain vulnerabilities like quadratic blowup or billion laughs XML attacks by default, but these risks can be mitigated by installing the defusedxml library. To install openpyxl, you can use pip, and it's recommended to perform this installation within a Python virtual environment to avoid conflicts with system packages. In some instances, you may want to work with a specific version of the library, especially if there are fixes that have not yet been released officially. Fortunately, you do not need to create an actual file on your filesystem to begin using openpyxl; simply import the Workbook class and begin your tasks. When you create sheets, they are automatically assigned names, and once you rename a worksheet, you can access it using the corresponding key from the workbook. This ease of use makes openpyxl a popular choice for many Python developers working with Excel files.
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