- Aften is a simple A/52 (AC-3) audio encoder based on the FFMpeg libraries. The name is an acronym for A/Fifty-Two ENcoder. It is also Danish and Norwegian word for 'evening'. It is able to create stereo and multi-channel AC3-compatible audio streams.
- Supports A, AAAA, ANY, CNAME, MX, NAPTR, NS, PTR, SOA, SRV, and TXT DNS queries.
- Supports WebSocket and can provide middlewares and pluggable routing for servers.
- Airhook is a reliable data delivery protocol, like TCP. Unlike TCP, Airhook gracefully handles intermittent, unreliable, or delayed networks. Other features include session recovery, queue control, and delivery status notification. Airhook is useful for keeping connections running over bad wireless networks (like CDPD), intermittent dial-up connections, and any other network that doesn't work very well. The implementation includes a TCP proxy (so you can use HTTP, SSH, etc.) and a protocol library for applications that want more control (real-time media delivery, games, etc).
- This package provides a functional, Ruby Domain-Specific Language (DSL) for casting, transforming and transposing objects.
The project's README file provides the following explanation of the purpose of this library:
Casting complex objects from one type to another can be an uncomfortable process to express well. Objects that we use on a daily basis are not always in our control, and, even when they are, some don't lend themselves to simple construction. Remote service communication objects or complex data structures from libraries we use in our applications can result in large piles of casting code.
This circumstance often produces large swaths of procedural code, even if split up into separate function calls. This code can be not only difficult to understand, but difficult to test if an object requires a great deal of set up. Field or method assignments midway through can change and break the entire operation.
The goal of this project is to provide a method of defining easily digestible specifications for object translation that are also easily testable and changeable. The project focuses on writing specifications for transformations and not doing direct mutation in the recipes. The result is something that should seem somewhat functional, but also exceedingly separable.
- AlgART are free software Java libraries, supporting generalized smart arrays and matrices with elements of any types (1 bit, 8/16/32/64-bit integers, 32/64-bit floating point values and any other Java types), including a wide set of of 2D-, 3D- and multidimensional image processing and other algorithms, working with arrays and matrices.
- The libraries use 63-bit addressing of array elements (all indexes and length are represented by 64-bit long type). So, it's theoretically possible to create and process arrays and matrices containing up to 2^63-1 (~10^19) elements of any primitive or non-primitive types, if OS and hardware can provide necessary amount of memory or disk space.
- Memory model concept allows storing AlgART arrays in different schemes, from simple Java arrays to mapped disk files; all necessary data transfers are performed automatically while every access to an element or a block of elements.
- Most of algorithms are based on wide usage of lazy evaluations. Typical operations, like elementwise summing or geometrical matrix transformations, are implemented via lazy views of the source array or matrix.
- For example, you can take a multidimensional matrix, rotate it (or perform any other affine or projective transform), and then extract a submatrix from the result. All these operations will be performed virtually (not requiring time), and actual calculations will be performed only at the moment of accessing elements, usually while copying the resulting matrix to a newly created one. Moreover, in many cases the libraries will "understand" itself, that the user wants to perform rotation or another transform, and will split the matrix into suitable rectangular blocks (fitting in RAM) and choose the best algorithm for this task at the moment of copying operation.
- The libraries contain a wide set of image processing algorithms over matrices: linear filtering, mathematical morphology, rank operations, spectral transformation (FFT), etc.
- There is also skeletonization and measuring of binary images.
- Allegro is multi-platform game programming library for C/C++ developers distributed freely, that provides many functions for graphics, sounds, player input (keyboard, mouse and joystick) and timers. It also provides fixed and floating point mathematical functions, 3d functions, file management functions, compressed datafile and a GUI. It can also be used for other types of multimedia programming.
- Complete set of free CAD tools and portable libraries for VLSI design. It includes a VHDL compiler and simulator, logic synthesis tools, and automatic place and route tools. Advanced verification tools for functional abstraction and static timing analysis are part of the system. A complete set of portable CMOS libraries is provided, including a RAM generator, a ROM generator, and a data-path compiler.
- 'alogg' is a library which makes it easier to use Ogg/Vorbis streams with Allegro. It offers facilities to decode, stream, and encode Ogg/Vorbis streams, and integrates those facilities with Allegro's datafile and sample loading routines. 'alogg' comes with a sample player, streamer, and encoder based on Allegro's sound routines.
- Alpy provides a Python binding to the C Allegro game programming library. This binding is mostly focused with providing a basic "raw" interface to the library, trying to preserve most of the Python API similar to the C version to ease the transition to C programmers.
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