Search Results for "analytics" - Page 8

NLOPredict is a nonlinear optical prediction and data analysis tool. Nonlinear optical measurements can yield information about the structure of crystals, and orientation of molecules at surfaces and interfaces.

CalPyLab is an open source data acquisition and (light) analysis software suite for scientific laboratories. The goal of this project is to provide a lightweight replacement for lab-view, to provide a quick and easy way to connect to your equipment.

This project aims to create a Python SQLite based data offline/online analytics program targetted mainly on web analytics. The main development would involve a complete python powered (C/C++ intermediate wrappers if required) sqlite analysis engine.

A GPR processer and viewer written in Python!

PLAtypus's goal is to give people with poor communications skills an opportunity to learn and improve. With the guidance of a tutor, people will be able to learn new signs, sounds or icons and associate them with real life concepts that will, hopefully, help them to better express they needs.

VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.

pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.

A tool for autonomous and virtual topical data integration using the focused web-harvesting method.

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

A web script for counting unique hits and stores the http header information for each hit in a MySQL database. The script also creates a .html document for viewing all hits contained in the database. The script is written in python.

The Open Source Health Information Platform is a Python implementation of openEHR electronic health record specifications http://www.openehr.org. Project website : http://launchpad.net/oship Analytics are at: http://www.ohloh.net/projects/oship

Augustus development has moved to google code. The new project page is augustus.googlecode.com. New releases of the project are not currently being released to sourceforge. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments. Versions of Augustus support PMML 3, 4.0.1, and 4.1.

PAIDA is pure Python scientific analysis package and supports AIDA (Abstract Interfaces for Data Analysis). PAIDA can create/plot histograms and functions etc. The parameter optimization and its error evaluation are also supported. Can use with Jython!

QME-DEV Workbench (wxScipy) is a data analysis workbench based on Python, SciPy, Numpy and MatPlotLib(PyLab) and uses wxPython for the GUI. It can be used for non-linear analysis with a large set of experimental or generated data. Load/Acquire / Save/ Gr

RStatServer is a system for quickly developing and deploying web applications that integrate statistical computations and graphics. It is built using the Zope web application develeopment system and the open-source statistical data analysis environment R

IVuPy is a set of Python bindings for the Coin3D C++ class libraries which serve to create software for 3D visualization in science and engineering. IVuPy aims to be a solid basis for large Python programs for 3D visualization and data analysis.

Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org

Web site statistic system - The sytem collects any sort of data about a web site, store in a data base and present statistics in html form (popularity of the site, speed or quality of service, state of the server, traffic to other sites, etc. ).

Unstructured text is no match for Litersta - see further details here: https://litersta.com Working with text now becomes effortless when paired with Litersta textual analytics software. Unlike database fields, which are easily queried, text contains unstructured data that must be parsed for key objects that can be transformed in to powerful metrics. Litersta - textual analytics - software leverages statistical algorithms to programmatically locate, and extract, overall document sentiment, word frequencies, and document similarities. ...

This software is being created to work with FLEXPART and other atmospheric transport model ouput. FLEXPART is a Lagrangian particle dispersion model written by Andreas Stohl. It is in active development at NILU and by Sabine Eckhardt, John Burkhart and numerous other research groups worldwide. For more information on FLEXPART visit the homepage Contact A maillist has been set up for users at sourceforge. Please direct inquiries via the pflexible_maillist Direct inquiries may be sent...

...Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building smart CV and video analytics applications for cities, retail, manufacturing, and more.

QSO-Graph is a suite of 11 MCP (Model Context Protocol) servers for amateur radio operators. Provides AI-powered access to QRZ, eQSL, LoTW, HamQTH, POTA, SOTA, IOTA, WSPR, solar weather, ADIF parsing, and HF Description: Propagation analytics. Native installers for Windows (InnoSetup) and Linux (RPM). All servers also available via pip from PyPI. Source code at github.com/qso-graph.

...With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model.