Open Source Python Data Visualization Software - Page 5

MerDAQ is a data acquisition GUI and other tools for collecting and storing time dependent. Originally designed to collect 4 temperature data vs. time and plot one of the temperatures in real time with matplotlib. Ideal for use with Arduino.

Software package for stochastic and hybrid simulation of microtubule dynamics and the effects of anti-mitotic drugs and microtubule regulatory proteins.

Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.

Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.

Ocular is a spreadsheet written entirely in python. Cell contents are evaluated by python after any standard spreadsheet coordinates are parsed. This allows the full Monty from Python to be implemented in a visual environment.

Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.

A Open Source project with the main goal to make a simple way to display 3D objects from a Geodatabase (PostgreSQL/PostGIS) on the Web. This project was created by OpenGEO (www.opengeo.com.br).

OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.

OpenFrames has moved its primary development repository to GitHub! Everything else will follow. Get it at https://github.com/ravidavi/OpenFrames/wiki OpenFrames is an Application Programming Interface (API) that allows developers to provides the ability to add interactive 3D graphics to any scientific simulation. A simulation developer can use OpenFrames to specify what they want to visualize, without having to know any details of computer graphics programming. OpenFrames is currently used by three NASA programs: Copernicus (NASA JSC), the General Mission Analysis Tool (GMAT, NASA GSFC), and a Virtual Reality exploration tool (NASA GSFC).

Follow us on www.openpiv.net and Github: http://github.com/openpiv

PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.

Parser - синтаксический анализатор. Plotter - графопостроитель.

Retrieve statistics from SNMP-aware devices, store them in a database and graphically display them for monitoring and notification purposes.

We are trying to create a very complete physics teaching program. So, we would be pleased if you could suggest any improvement or create any module for us. To use any of these sources you need python 2.2, pygame and scipy.

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.

Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. The application was developed in Python and uses Blender (an open source program) to produce detailed 3D representations of raw and processed data. Py3DN is described in the paper: Aguiar P et al, "Versatile morphometric analysis and visualization of the three-dimensional structure of neurons", Neuroinformatics, 2013, 11(4):393-403 doi: 10.1007/s12021-013-9188-z

Python app using wxWidgets that does some simple visualizations of topographical data, including 3D model, contour lines, and elevation profiles.

This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...

PyGTS is a python package used to construct, manipulate, and perform computations on triangulated surfaces. It is a hand-crafted and pythonic binding for the GNU Triangulated Surface (GTS) Library. THIS PROJECT IS NOT BEING MAINTAINED.

Native FITS viewer/IRAF image server for Mac OS X.

PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.

PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI.

PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.

PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!

A set of components based upon the PyGTK architecture for interactively displaying time-sampled data in the form of "strip charts".