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Data Processing and Analysis for X-ray Spectroscopy and More
Larch is a scientific data processing language that is designed to be easy to use for novices and complete enough for advanced data processing and analysis. Larch provides a wide range of functionality for dealing with arrays of scientific data, and basic tools to make it easy to use and organize complex data.
Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. ...
That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
ActiveFolder can be integrated with existed scientific computation.
Welcome to the ActiveFolder project, the open source for management simulataion data and reproducing. ActiveFolder provide data reproduction for comparative study and searching reproduction data, by storing data coupled with provenance information. ActiveFolder is integrated existed grid computing service and cloud services. And also, ActiveFolder can be integrated with existed scientific computation, analysis and visualization software without modification.
Voice keyboard/dictation. Aims to be a total substitute for a keyboard. Spell out words letter by letter (using code: alpha, bravo, ..). Arrow keys, modifiers work. Speak whole words (but whole word accuracy is not good). Attach commands to some word
Open-source weather database system for storage of weather/water observations, forecasts, analysis fields, and hindcasts. includes loading program for GRIB files. Visit project website (http://wdb.met.no) for further information.
Please note: this project has now moved to http://wdb.met.no
3D Stabilization software for intravital imaging of mouse organs
- 2D Stabilization in each slice of the stacks in time.
- 3D Stabilization intravital imaging of all the stacks (including the dimension Z)
- create the videos and the stabilized images in a new folder
That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
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That project aims at providing a clean API and a simple implementation (C++ library) of an Airline-related Seat Inventory Availability Calculation system. That library uses the Standard Airline IT C++ object model (http://sf.net/projects/stdair).
Feedisto is your personal newspaper. Your newspaper is collocted from rss feeds, parsed by a bayesian filter to rate its relevance and served as a static html page or on a webserver to train the filter. Writing plugins is very easy.
This project contains tools, that were created during the work with the Katana robotic manipulator at the workgroup EOS of the University of Magdeburg.
Create geographics maps from data in table format. Serve map creation requests using a XML-RPC server. - Requires: mapnik, swftools, MySQL server and MySQLdb python module.
pyWombat is a Python encapsulation layer for the Serial Wombat PIC microprocessor (www.serialwombat.com). The goal is to develop a robotics platform with intelligence on the host in Python and 'arms, legs and eyes' on the Wombat. See Wiki for details.
This project is a python script to abstract S.M.A.R.T. messages from /var/log/messages (from the smartd daemon) into .csv file(s), one for each disk, suitable for graphing.
The Serial Data Acquisition is a lightweight data acquisition system able to parse a vast majority of mostly unidirectional streams. Results are saved in a SQLite DB and accessible over XML-RPC or plain HTTP. Its design is modular and easily extendable.
This project will provide translation of mathematical content, from TeX to MathML and vice-versa, and to graphics formats, as a web service. TeX, running as a daemon, is used for mathematical typography.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.