Counters.pl collects the CLI counters from network devices and produces custom reports. These counters can be reset independently of the SNMP counters, and when collected weekly, can highlight issues such as connection errors that you will not see looking at graphs produced from SNMP counters. They also contain information that is not available via SNMP. The reports can be viewed on a Web site and/or sent via email. There is a flexible configuration language in which reports can be specified. The format and style of the HTML reports are controlled by Template Toolkit templates and CSS. Currently only Cisco network equipment is supported.
Sukiyaki was born out of what the author sees as a much needed improvement to current imageboard/BBS software. They're flaky, often have security flaws that users take advantage of, and worst of all, they have the same UI from the mid-nineties. It's time for an update! Sukiyaki visually organizes replies in threads so that it is clear who the reply is sent to. It is written using Django with its wonderful ORM, which helps reduce security vulnerabilities. It has been tested in production and is stable. It also includes a unique system for user-ranking of posts. Planned features include RSS updates for individual boards and threads, and there is a faster backend (Django-Treebeard).
Python System Monitor (Psymon) is a cross-platform task and performance monitor. It features global process monitoring, system load history (CPU, memory, network, and disks), disk information, network connections, detailed information and CPU, and memory percentage history per process.
SystemTap is a tracing and probing tool that allows users to study and monitor the activities of the computer system in fine detail. It provides information similar to the output of tools like netstat, ps, top, and iostat; however, SystemTap is designed to provide more filtering and analysis options for collected information. It can be used as a performance monitoring tool, and is most useful when other tools cannot precisely pinpoint a bottleneck in the system, requiring a deep analysis of kernel activity. Application developers can also use it to monitor, in finer detail, how their application behaves within the Linux system.