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A binary-to-text encoding is encoding of data in plain text.More precisely, it is an encoding of binary data in a sequence of printable characters.These encodings are necessary for transmission of data when the communication channel does not allow binary data (such as email or NNTP) or is not 8-bit clean.
Base64 can be used to transmit and store text that might otherwise cause delimiter collision; Base64 is used to encode character strings in LDAP Data Interchange Format files; Base64 is often used to embed binary data in an XML file, using a syntax similar to <data encoding="base64">…</data> e.g. favicons in Firefox's exported bookmarks.html.
FlatBuffers is a free software library implementing a serialization format similar to Protocol Buffers, Thrift, Apache Avro, SBE, and Cap'n Proto, primarily written by Wouter van Oortmerssen and open-sourced by Google. It supports “zero-copy” deserialization, so that accessing the serialized data does not require first copying it into a ...
The core features of Zim depend on python, gtk and python-gtk modules and thus Zim can be easily ported to any platform where these modules are available. In particular, Zim has been ported to the Microsoft Windows operating system and works very well with a native feel. It has also been ported to Mac OS, but as of 2015 there were still a few ...
Free software programmed in Python. Subcategories. This category has only the following subcategory. S. Software that uses wxPython (9 P) Pages in category "Free ...
Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE; PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming.
LZ4 only uses a dictionary-matching stage (LZ77), and unlike other common compression algorithms does not combine it with an entropy coding stage (e.g. Huffman coding in DEFLATE). [4] [5] The LZ4 algorithm represents the data as a series of sequences. Each sequence begins with a one-byte token that is broken into two 4-bit fields.
Snappy (previously known as Zippy) is a fast data compression and decompression library written in C++ by Google based on ideas from LZ77 and open-sourced in 2011. [3] [4] It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression.