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Algart
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.

Main Features

  • 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.
Altium2kicad
Converts .PcbDoc and .SchDoc files created with Altium to KiCad formats
Angular2
Angular (commonly referred to as "Angular 2+" or "Angular 2") is a development platform for building mobile and desktop web applications using Typescript/JavaScript and other languages.
Anki
Anki is a flashcard program which makes remembering things easy. Because it is a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn. Anyone who needs to remember things in their daily life can benefit from Anki. Since it is content-agnostic and supports images, audio, videos and scientific markup (via LaTeX), the possibilities are endless. For example: - learning a language - studying for medical and law exams - memorizing people's names and faces - brushing up on geography - mastering long poems - even practicing guitar chords!
Anontwi
Anontwi - is a tool for OAuth2 applications (such as: GNUSocial, Twitter...) that provides different layers of encryption and privacy methods.
Antidote
Antidote is an open source implementation of the IEEE 11073-20601 standard. It also contains the implementation of a D-Bus based 11073 manager service.
Antimicro
antimicro is a graphical program used to map keyboard keys and mouse controls to a gamepad. This program is useful for playing PC games using a gamepad that do not have any form of built-in gamepad support. However, you can use this program to control any desktop application with a gamepad; on GNU/Linux, this means that your system has to be running an X environment in order to run this program.
ArchZoom
ArchZoom is a Web-based browser for the GNU Arch revision control system with minimal requirements and decent configurability. It provides easy-to-use navigation from managed archives to complete revision trees and features multiple views, like expanded changeset information with colored diffs inline.
Archives2git
archives2git is a shell script that recreates a poor-man’s Git history from the release archives of a project.
Arvados
Arvados enables you to quickly begin using cloud computing resources in your data science work. It allows you to track your methods and datasets, share them securely, and easily re-run analyses.


Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.