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.
PanBI is a collection of analytics modules for existing information systems. For each information system, it provides data extraction, transformation, and loading logic coupled with an OLAP schema, delivering OLAP functionality to an unprecedented user base. It extracts data from the source database, sets up a warehouse schema, loads the data into the warehouse, and has defined OLAP cubes. It does all this automatically for a one-click-run experience. Supported systems: dotProject, NesterSoft WorkTime, Subversion, and MantisBT (under development).
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.
OCRFeeder is a document layout analysis and optical character recognition application. It is able to automatically outline a document image's contents, distinguish between graphics and text and perform OCR over the latter. It can export to several formats, its main one being ODT. OCRFeeder has a GTK+ graphical user interface that allows the user to control the application and, for example, edit and correct the automatic recognition. It can also be used from the command line for automation.
Sonar enables you to collect, analyze, and report metrics on source code. Sonar not only offers consolidated reporting on and across projects throughout time, but a central place to manage code quality. With no complex infrastructure, Sonar fulfills needs in terms of code quality, whether it is to make an audit or implement a continuous improvement process.
The Python audio processing suite is a module that contains a variety of convenience functions to process audio signals. It can be used to plot spectral analyses of a song across time and to quickly ascertain encoding quality, but the instrumental goal of this suite is to robustly identify duplicated songs, regardless of which album they were released in, encoding quality, or start time.
Telemeta is a global audio archiving program which introduces useful and secure indexing methods to back up digitized audio files and metadata dictionaries. It is dedicated to backing up any digitized and documented sound from collections of vinyls, magnetic tapes, or audio CDs over a strong database in accordance with many standards. Export functions also encapsulate edited metadata into a compressed file. The object style architecture provides easy developed user-friendly interfaces and a plugin style audio processing.
glfer is a GTK+ application that shows the input signal frequency spectrum in a waterfall display and can also control a transmitter to emit slow-CW (QRSS) signals. The signal to be analyzed can be acquired in real-time from the sound card or can be read from a WAV file. The signal spectrum can be computed using four different spectral estimators. The spectrogram display can be saved as an image; you can choose to save the entire window, or select a rectangular region to save with the mouse.