SOFA is a statistics, analysis, and reporting program with an emphasis on ease of use, learning as you go, and beautiful output. SOFA can connect directly to your database and lets you display results in an attractive format ready to share or put in a spreadsheet. SOFA will help you learn as you go, whether you are a student, business analyst, or researcher.
CloudBuddy Analytics is a Web-based tool that generates exhaustive statistical reports about your S3 bucket access. It has an intuitive interface for a rich user experience and takes care of enabling logging, fetching logs and generating reports. It can be configured for multiple S3 accounts, uses the AWStats engine, employs caching for faster reports, and gives details on bandwidth usage, visits, unique visitors, visit durations, last visits, days of week and rush hours (pages, hits, KB for each hour and day of week), domains/countries of visitors, and more.
allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.
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.
Statmetrics is a software application providing an interactive environment for computational finance. It combines innovative quantitative finance technologies with traditional technical and econometric analysis methods. Statmetrics can be used in diverse fields to perform econometric analysis, technical analysis, risk management, portfolio management, and asset allocation.