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This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
PDF Tools allows creation of PDFs from many types of source input (images, scans, etc.). The PDF-XChange print driver allows printing directly to a PDF. A "lite" version of the print driver is free for non-commercial (home and academic) use. PrimoPDF: Proprietary: Yes: Virtual printer, for Microsoft .NET Framework and uses Ghostscript and RedMon.
OmniMark treats input as a flow that can be scanned once, rather than as a static collection of data that supports random access. Much of an OmniMark program is in the form of condition=>action rule where the condition recognizes a length of data to be acted upon and the action specifies what is to be done with the data.
The following is a list of notable websites that list free software projects. These directories and repositories of free software differ from software hosting facilities (or software forges ) in the number of features they offer and the type of collaboration they are designed to promote.
Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.
Free-form deformation (FFD) extensions, including Bézier curves and improved usability. Reorganization of the incompressible solver for future expansion. Harmonic Balance flow analysis capability. Algebraic transition model implementation. More and better boundary conditions (accuracy and convergence improvements).
Flex (fast lexical analyzer generator) is a free and open-source software alternative to lex. [2] It is a computer program that generates lexical analyzers (also known as "scanners" or "lexers").
Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial. Historically in machine learning spatial data was analyzed using a convolutional neural network , and temporal data using a recurrent neural network .