libgstreamermm-0.10-dbg

C++ wrapper library for the multimedia library GStreamer (debug symbols)

python3-wdlparse

Workflow Description Language (WDL) parser for Python

A Python package that provides the generated Hermes and Antlr4 WDL parsers for Python.

revolt

better desktop integration for Element

Revolt is a small application which wraps the Element webapp to provide better integration with desktop environments in general, and GNOME in particular:

librobottestingframework2

Robot Testing Framework - RTF library

It is a generic and multi-platform testing framework for the test driven development (TDD) which is initially designed for the robotic systems. However, it can be used for any TDD system. The framework provides functionalities for developing and running unit tests in a language and middleware independent manner. The test cases are developed as independent plug-ins (i.e., using scripting languages or built as dynamically loadable libraries) to be loaded and executed by an automated test runner. Moreover, a fixture manager prepares the setup (e.g., running robot interfaces, simulator) and actively monitors that all the requirements for running the tests are satisfied during the execution of the tests. These functionalities along with other facilities such as the test result collector, result formatter and remote interface allow for rapid development of test units to cover different levels of system testing.

libreactivedata-ocaml

FRP with incremental changes in data structures (runtime)

ReactiveData is an OCaml module for functional reactive programming (FRP) based on React. It adds support to incremental changes in data structures by reasoning on patches instead of absolute values.

libann0

Approximate Nearest Neighbor Searching library

ANN is a library written in C++, which supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions. ANN assumes that distances are measured using any class of distance functions called Minkowski metrics. These include the well known Euclidean distance, Manhattan distance, and max distance. ANN performs quite efficiently for point sets ranging in size from thousands to hundreds of thousands, and in dimensions as high as 20.