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2. PrimoPDF - Wikipedia

   en.wikipedia.org/wiki/PrimoPDF

   PrimoPDF supports creation profiles (Screen, eBook, Print, Prepress, and Custom) to determine file quality, resolution, and size. Can append output to an existing PDF file. Supports strong password-based PDF security. Allows PDF metadata—including author, title, subject, and keywords—to be set. Create files for PDF version 1.2, 1.3, 1.4, or 1.5

3. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Open-source, cross-platform C library to generate PDF files. OpenPDF: GNU LGPLv3 / MPLv2.0: Open source library to create and manipulate PDF files in Java. Fork of an older version of iText, but with the original LGPL / MPL license. PDFsharp: MIT C# developer library to create, extract, edit PDF files. Poppler: GNU GPL

4. PDF24 Creator - Wikipedia

   en.wikipedia.org/wiki/PDF24_Creator

   After printing a document on the PDF printer, a wizard opens automatically, where the created PDF file can be edited or further worked on. The PDF24 Creator is also able to merge multiple documents to one PDF file and to extract pages. Compressing PDF files to shrink the file size is also possible.

5. doPDF - Wikipedia

   en.wikipedia.org/wiki/DoPDF

   The resolution of the created PDF files can be set manually or done automatically. [4] [5] doPDF is freeware which displays advertisements. doPDF is the simplified version of Softland's commercial novaPDF, which offers additional features, including Advanced Encryption Standard, password protection, digital signing, URL links support, text ...

6. Wikipedia:Random - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Random

   On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).

7. Diehard tests - Wikipedia

   en.wikipedia.org/wiki/Diehard_tests

   Most of the tests in DIEHARD return a p-value, which should be uniform on [0,1) if the input file contains truly independent random bits. Those p -values are obtained by p = F ( X ), where F is the assumed distribution of the sample random variable X – often normal.