Traffic Squeezer is a Linux kernel based WAN network traffic accelerator from Doublefish Solutions. It uses methods such as traffic compression, traffic PDU coalescing, protocol specific acceleration (such as TCP acceleration mechanisms), and quality of service. Traffic Squeezer also contains custom L7filters (application protocol filters), DPI (Deep Packet Engines) and so on to control and administrate your traffic. With Traffic Squeezer, you can optimize MPLS,ISDN, leased links, Satellite Networks, and Marine Internet, and even build your own custom WAN Appliance with Traffic Squeezer. A GUI is now supported via Doublefish Solution Aquarium. Aquarium is a Web-GUI that also supports Traffic Squeezer, Squid, and other open source solutions.
Meters is a set of Java/Swing components for creating live, realtime dashboards which visualize telemetric data. It provides visually rich components with organic movement, which gets the user interface out of the way, allowing the data to communicate. It is implementation-agnostic. It provides easily-extended interfaces and base classes which allow you to integrate your existing data sources so you can create a simple Java wrapper around your existing technology and incorporate your telemetry data into Meters.
Dummy Data Generator is a tool that generates dummy data for populating systems for testing. The data includes names, addresses, email addresses, phone numbers, and social "connections". Names are generated by using US Census data on the most common names. Email addresses are just a random string for the user portion and always use "example.com" for the domain. Currently the only output format is CSV.
Chart::Clicker aims to be a powerful, extensible charting Perl package that creates really pretty output. Charts can be saved in PNG, SVG, PDF, and PostScript format. Clicker leverages the power of Graphics::Primitive to create snazzy graphics without being tied to a specific backend.
gdata-python-scripts collects some simple scripts and examples that use the Google Spreadsheets Data APIs client libraries for Python. The main goal is to collect and publish small snippets of code that, if not completely general and ready to use, remain simple enoguh (and hopefully well documented enough) to be adapted to your own needs.
itch41 parses a file of level 3 NASDAQ stock exchange data, such as ftp://emi.nasdaq.com/ITCH/S030711-v41.txt.gz. This is mainly for demonstration purposes, lacking column domains, column constraints, data validation, timestamp calculations, stock symbol lookup for execution/cancel/delete messages, derived columns (e.g. for partitioning), and the general kinds of pre-processing one would expect from a production tick data loader.