TML turns text into HTML using a wiki-like markup. Unlike txt2tags, TML does not support multiple output formats (although there is some support for word documents through a separate project). HTML tags may be freely mixed into the source where desired. The output is easy to read and supports table-free CSS layouts. .include files can be used to insert blocks of code such as Google ads that appear on multiple pages. The code was written with technology normally used for software compilation for faster, more accurate parsing.
Greenhorn displays documentation strings directly from the source code itself, which is handy if you use or write your own modules whose documentation is not keeping pace with development. It uses the PyGTK treeview widget to display a tree diagram of modules in a window. Clicking on individual modules displays . __doc__ strings and sub-modules or functions. Source code can also be browsed, if available, using Python inspect.
soft66 is a library and related command line tools for controlling the Soft66AD series of SDR receivers from Kazunori Miura JA7TDO. This enables users of these software-defined radio receivers to tune and use them under Linux. There is also a patch to enable support for this in Linrad.
Janus is a platform designed to deal with the implementation and deployment of holonic and multi-agent systems. It is based on the CRIO organizational metamodel. The concepts of role and organization are supported as first-class entities. Janus provides a comprehensive set of features for developing, running, displaying, and monitoring multi-agent-based applications. The platform also natively manages the concept of recursive agents (holon or agents composed of agents). It can also run threaded and non-threaded agents without using the organizational and holonic API. It provides features equivalent to those of TinyMAS or MadKit.
Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.