Open Source Python Data Management Systems - Page 19

program which solves the poisson problem using multigrid and finite elements

VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk

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.

This project is no longer active. See vpython.org.

The VR Juggler Toolbox is a collection of libraries and tools for use with VR Juggler applications.

Data science solutions, insights, dashboards, machine learning, deployment. We start at 100GB. Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted). Cut development cut development time by 80%. Your prototype is your solution. Create automatic pipelines for any model.

PROJECT MOVED: see http://www.vmtk.org for up-to-date information. Libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis in image-based blood vessel modeling.

A python package which aids in the analysis of ViEWER (http://www.webpages.uidaho.edu/~bdyre/viewer.htm) epoch logs. A wxPython GUI helps the user build a python script which uses the package to perform timeseries and spectral analyses.

Viewmol is a graphical front end for computational chemistry programs. It is able to graphically aid in the generation of molecular structures for computations and to visualize their results.

VisAD is a Java component library for interactive and collaborative visualization and analysis of numerical data.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has a simple set of features that can be composed for various use-cases. The UI begins as a blank slate, you can populate it with plots, images, and text. These appear in windows that you can drag, drop, resize, and destroy. The windows live in envs and the state of envs is stored across sessions. You can download the content of windows, including your plots in svg.

Display APT (Automatically Programmed Tools) geometry and toolpaths created by the apt360 processor.

Representation of events graphically on screen using SDL. External applications send a simple message and visual event renders animation on screen depicting the event taking place.

A tool for visualization, classification, and quantification of three-dimensional secondary ion mass spectrometry data.

This toolbox contains a set of Python procedures in order to compute examples associated with the computation of Realizable Sign Conditions (RiSC) due to the approach by Basu, Pollack and Roy. The RiSC approach is a way to solve and analyze systems of polynomial equations and inequalities over the real numbers in the field of real-algebraic geometry. The involved computations often consist of highly sophisticated notions, not easy to illustrate by hand. VisualRiSC provides implementations of such notions and functions using the Python package SymPy, on the one hand, and an interface to Gnuplot in order for a visualization of examples using the Python package Gnuplot.py.

Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.

To create a framework to extract Web data and store in local RDBMS, to generate assessment reports on quality of the data being extract, and to publish the quality reports on the Web.

WebBabel is a python web application using OpenBabel to convert files from one format to another. It runs under Windows, Mac or Linux on your desktop, workstation or laptop. It uses the Jmol (or Marvin) viewer to show the structures being converted.

WebDX is a framework for deploying OpenDX applications over the web.

A colorized interactive dotplot program designed for pair-wise comparisons of RNA & DNA. The original idea was from the mind of late Prof. William J. Dreyer of Caltech. The idea is to be able to see the "tapestry" of life, which comes alive with color.

Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data analysis, file processing, or anything else. The project was inspired by how simply and powerfully sandman could expose users to a database and by how Gooey turns ArgumentParser-based command-line scripts into WxWidgets GUIs. Originally two separate projects (Django-based djangui by Chris Mitchell and Flask-based Wooey by Martin Fitzpatrick) it has been merged to combine our efforts. Enable the easy wrapping of any program in simple python instead of having to use language specific to existing tools such as Galaxy. Enable fellow lab members with no command line experience to utilize python scripts. Autodocument workflows for data analysis (simple model saving).

Storekeeper is small tool that helps you to keep an eye on your resources in home lab or workshop. It can be used in several places and, thanks to it's single-file and synchronize option, merge data between users.

The X-ray Strain Orientation Calculation Software (X-SOCS) is a user-friendly software, developed for automatic analysisof 5D sets of data recorded during continuous mapping measurements. X-SOCS aims at retrieving strain and tilt maps of nanostructures, films, surfaces or even embedded structures. For more information: http://scripts.iucr.org/cgi-bin/paper?S1600576714004506 To download the latest version of XSOCS (D. Naudet, T. Vincent, M.I. Richard, G. Chahine), follow the instruction in the following link: https://gitlab.esrf.fr/kmap/xsocs You can find on youtube video tutorials explaining the main steps to follow for a standard KMAP data analysis. In the folder XSOCS_tutorials_data of the Files tab, you can download the dataset used in the tutorials. Make sure to read the readme file.

Inter University Multi-Modal Imaging

Python tools to harvest financial data supplied by Yahoo Finance.