asyncoro is a Python framework for concurrent distributed network programming with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are socket I/O operations (non-blocking sockets), database cursors, sleep timers, and locking primitives. Programs developed with asyncoro have the same logic and structure as Python programs with threads, except for a few syntactic changes. It supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security. asyncoro features include remote execution of coroutines, coroutines monitoring other coroutines, coroutines communicating with messages, message channels etc., for concurrent, distributed, fault-tolerant programming.
dispy is a Python framework for parallel execution of computations by distributing them across multiple processors in a single machine (SMP), or among many machines in a cluster or grid. The computations can be standalone programs or Python functions. dispy is well suited for the data parallel (SIMD) paradigm where a computation is evaluated with different (large) datasets independently (similar to Hadoop, MapReduce, Parallel Python). dispy features include automatic distribution of dependencies (files, Python functions, classes, modules), client-side and server-side fault recovery, scheduling of computations to specific nodes, encryption for security, sharing of computation resources if desired, and more.
csvgrep is a commandline program which enables users to execute searches on text-delimited files using a rudimentary query language. Its query language is bound to simplicity and expressivity, to be easily comprehensible. It aims at replacing both grep and awk when you are challenged to retrieve information from a text-delimited file based on the content of a specific field (or column). You can get what you want using the semantic already in the file’s underlying structure.
openTCS is a platform-independent transportation control system (TCS) intended to control automatic guided vehicles (AGVs), but which can be used to steer virtually any (track-guided) vehicle. It consists of an abstract kernel which implements replaceable algorithms and strategies (computation of routes, dispatching of orders to vehicles, scheduling of resources, etc.), pluggable vehicle drivers which implement communication protocols, and a graphical frontend for creating and visualizing logical models of areas the vehicles are moving in.
QtitanChart is a Qt.C++ library that represents a set of controls that allow you to quickly and easily provide your application with beautiful and colorful diagrams. It is implemented in pure Qt. Adding it to your program requires only a few lines of code, and the architecture allows you to customize every part of the charts. it supports point, line, step line, clustered column, stacked column, pie, doughnut, аrea, and stacked area charts with full interactivity. A rich set of themes is included, and real time charts are supported.
RealOpInsight is an advanced dashboard management toolkit for Nagios, Zabbix, Zenoss, Icinga, and other common open source monitoring systems including GroundWork, Centreon, Shinken, and op5 Monitor. It provides effective features for monitoring in demanding operations environments such as network operations centers and large data centers.
Treba is a commandline tool for training, decoding, and calculating with weighted (probabilistic) finite state automata (WFSA/PFSA). Training algorithms include Baum-Welch (EM), Viterbi training, and Baum-Welch augmented with deterministic annealing. Treba is optimized for speed and numerical stability, and training algorithms can be run multi-threaded on hardware with multiple cores/CPUs. Forward, backward, and Viterbi decoding are supported. Automata for training/decoding are read from a text file, or can be generated randomly or with uniform transition probabilities with different topologies (ergodic or fully connected, Bakis or left-to-right, or deterministic). Observations used for training or decoding are read from text files compatible with AT&T finite state tools and OpenFST.
MightyString adds array functionality and other tools for Ruby strings, including matching, indexing, substitution, and deletion. MightyString::HTML.strip_html provides more ideal HTML-to-ASCII formatting output. This is an advanced block "filtering" module. It works very well, with extremely rare cases which fall through its fingers.