BitNami Stack for Piwik is an easy-to-install distribution of Piwik, a real time Web analytics software application. It includes pre-configured, ready-to-run versions of Apache, MySQL, PHP, and phpMyAdmin so users can get a Piwik installation up and running in minutes after answering a few questions. It provides you with detailed reports on your Web site visitors: the search engines and keywords they used, the language they speak, your popular pages, and much more.
Countly is a real-time, mobile analytics application. It collects event data from mobile phones and visualizes this information to analyze mobile application usage. Countly dashboard gives a complete overview of your application's performance. You can view detailed metrics, including session length, hardware type, operator (carrier), connection type or speed, activity length, and more.
CreditProduct aims to define the functional and behavioral interfaces behind curves, products, and different parameter types (market, valuation, pricing, and product parameters). To facilitate this, it implements various day count conventions, holiday sets, period generators, and calculation outputs.
LavaFlow creates useful reports on the usage of high-performance computing clusters. It takes data from the batch scheduling system, monitoring, and other tooling, and creates reports which help administrators, managers, and end users better understand their cluster environment. The reports are modular, and new modules are easy to create using templates and Django's query set API. LavaFlow uses human-readable RESTful URLs, making it easy to automate and share links to reports.
The Graphical Models Toolkit (GMTK) is a toolkit for rapidly prototyping statistical models using dynamic graphical models (DGMs) and dynamic Bayesian networks (DBNs). It can be used for speech and language processing, bioinformatics, activity recognition, and any time series application. It features exact and approximate inference, many built-in factors including dense, sparse, and deterministic conditional probability tables, native support for ARPA backoff-based factors and factored language models, parameter sharing, gamma and beta distributions, dense and sparse Gaussian factors, heterogeneous mixtures, deep neural network factors, and time-inhomogeneous trellis factors, arbitrary order embedded Markov chains, a GUI graph viewer, and much more.
Qmonix is a quantitative software monitoring and analysis SDK. It allows you to build your own analytics infrastructure by monitoring and analyzing events from any platform that supports HTTP, visualize your data in real time in the provided Web interface or query with the HTTP API, embed charts in your Web sites, or export data for further analysis.