txtorcon is a Twisted-based asynchronous Tor control protocol implementation. Twisted is an event-driven networking engine written in Python, and Tor is an onion-routing network designed to improve people’s privacy and security on the Internet. It includes unit-tests with 96%+ coverage, multiple examples, and documentation. There are abstractions to track Tor configuration and state (circuits, streams), launch private instances, support Hidden Service, and more.
Apptools is a collection of programs for accessing Applix 1616/OS disk images. It is similar to 'mtools' and 'cpmtools' for MS-DOS and CP/M disks. The tools have been tested on Applix 1616/OS floppy disk images, but should work on hard disk images. The tools are limited to reading and only work with raw disk images. The collection includes programs for listing, copying, displaying, and reporting, and all tools allow recursive and wildcard operations.
Daemon Manager allows non-root users to start and stop their own daemons. It is appropriate for running FastCGI servers, torrent servers, or any other daemon that isn’t meant to run in the root context. Daemon Manager will monitor processes and restart a daemon if it exits or crashes. Daemon Manager allows the system administrator to decide which users can launch daemons and what users they are allowed to launch daemons as. For instance, it is common to launch FastCGI servers as a different user ("www-data" on Debian or Ubuntu).
rlimit is a program that lets you run processes with system resource limits set. It can be used by software developers and testers to test that software will run correctly in resource restricted environments. It is also useful for software which would otherwise consume excessive resources such as programs that used 100% CPU, set their own priority levels, or consume too much memory. This is basically a command line interface to the system functions getrlimit() and setrlimit().
classh is yet another wrapper around ssh for running commands on a number of hosts concurrently. It is similar to xCAT, pssh, Cluster ssh, and a gaggle of other utilities. The only pre-requisite for classh is Python 2.4 or later, and no formal installation is required; a copy of the classh.py file is sufficient to run commands. The SSHJobMan class from classh can be used to create custom job management scripts. This class lets you either wait until all output has returned from a batch job or process the results as they become available by incrementally polling the running job. The output, error messages, exit code, and start and completion times of each job are stored in the results. It's been tested on jobs of over 25,000 hosts and handles over 10,000 hosts per hour across a WAN and without noticeable impact on the administrator's host.
hwloc provides command line tools and a C API to obtain the hierarchical map of key computing elements, such as: NUMA memory nodes, shared caches, processor sockets, processor cores, and processor "threads". hwloc also gathers various attributes such as cache and memory information, and is portable across a variety of different operating systems and platforms. hwloc primarily aims at helping high-performance computing (HPC) applications, but is also applicable to any project seeking to exploit code and/or data locality on modern computing platforms.
The parallel project allows for simple parallel and distributed processing from shell scripts. In particular, the programs accept lines of shell code on the standard input and run these lines in parallel. The parallelism can be either on the local machine or on a cluster, if a small amount of time is taken to set up SSH. Additionally, the distributed version includes a degree of fault tolerance.