Search Results for "google-visualization-python" - Page 5

Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.

...It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups.

This project has moved to github at http://lmwtree.devries.ninja.

Como técnico en informática en un Instituto de Física con el tiempo surgió la necesidad de tener que crear distintas piezas de software para ir resolviendo situaciones diarias. En este proyecto iré agregando pequeños programas en Python 2.7 que voy escribiendo para dar soluciones a algunos de los problemas que surgen día a día en el laboratorio, como ser comunicación con algunos dispositivos o rutinas para ordenar o modificar datos de forma recursiva algunos cálculos matemáticos, creación de gráficas etc. La finalidad principal del proyecto es poder poner a disposición de aquel que lo necesite mi trabajo tanto dentro del Instituto donde trabajo como fuera del mismo. ...

AsphaltOpen is a project to visualize data collected during road asphalting operations. Asphalt contractors can use the software to visualize their operations, learn from the visualizations, and improve their processes continually.

GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software...

...Direct inspection of the microarray data with the noise-free-cnv software helps to appreciate the quality of the data and to identify artificial calls. With noise-free-cnv it is possible to visualize individual datasets, to compare different datasets and to perform simple transformations. The visualization and the suppression of genomic waves, the comparison of two datasets by subtraction and the simultaneous inspection of LRR and BAF values are amongst the most frequent applications of this software. This program is able to read and write files suitable for PennCNV or raw files containing measured values of any kind.

G.R.E.A.T. - Google Earth Reporting Engine and Analysis Tool The Goal of this project is to create a basic IDS interface with Google Earth. Currently generates a KML file of traceroute/whois information suitable for use in Google Earth

PIVOT is a simple yet flexible visualization tool based on Circos (Krzywinski et al., 2009), which offers a fast and aesthetical visualization of data and information. The Protein Interaction Visualization and Observation Tool (PIVOT) was developed specifically for the visualization of protein interaction. It is difficult to spot the proteins that have an interaction when given a large list of proteins but with PIVOT, it is easy to identify the them at a glance. ...

This is the prototype version of software for robust detecting and segmentation of cell nuclei in 3D fluorescence labeled microscopy images. First release coming soon...

IMPORTANT: The project moved over to github! You can find it at: https://github.com/exhuma/python-cluster

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic and TRIX, plus candlestick pattern recognition. Docs: https://ta-lib.org Available natively in C/C++, Java, Rust and C# with wrappers for python, R and many other ecosystems. MOVED TO GITHUB: https://github.com/TA-Lib/ta-lib . No further support is provided on SourceForge. Release 0.4.0 is very outdated, please check github for the most recent release.

The aim of the MTdocs Project is to make available the MyTourbook documentation (http://mytourbook.sourceforge.net/mytourbook/) in different languages.

The Prajna project is a collection of tools and utility classes combining visualization, geographic displays, data fusion, and semantic reasoning into a cohesive toolkit for enhancing information discovery and reasoning.

BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.

The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!

VDM.net So how can I call you My Dear Project?

Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy

This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 (

Plotmeister is a data exploration tool. It parses your ASCII data and generates a simple (text-based) table format. You can modify this table and eventually create nice looking figures.

Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.

Xpose - an S/R based population PK/PD model building aid for NONMEM.

SkyTracer is a desktop software intended for data collection in radioastronomical observations, as well as data collection for other uses. It's interface aims to be rich and easy to use. Data collection can be achieved by one of these devices: PICADC (free Microchip PIC solution developed by me [will make publicly available soon]), MC Measurement Computing (MCC) board or any Sound Card with Line In or Mic input (used for spectral analysis).

The Self-Organizing Map Maker for Education and Research. Features include 3D-visualization of the training process, various 2D and 3D map topologies, easy extensibility to additional topologies.

This is dedicated to development of a small class for organizing data in both a traditional parent<->child hierarchy and by the functions used to generate child data nodes from parent data. The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py