Search Results for "python libraries" - Page 6
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Showing 190 open source projects for "python libraries"
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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.
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pygolem
Python API for the GOLEM Tokamak discharge database
This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting. -
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Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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A tool that parses SQL Select statements and generates a diagram. The diagram shows parts of the underlying SQL directly in the diagram. For example x=30 , GROUP BY (year), HAVING MIN(age) > 18. It is easy to see cartesian joins and/or loops.
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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.
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Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.
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Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible. The repository is located at http://github.com/gaphor/gaphor.
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Project moved to https://codelv.com/projects/inkcut/ Code move to https://github.com/codelv/inkcut/ Forum moved to https://inkcut.org/
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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.
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Open Source Particle Image Velocimetry
Open Source Particle Image Velocimetry and PIV Analysis
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. -
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Gnupylot is a GUI for gnuplot (the widely used multi-OS plotting utility). It's written in Python using PyQt4 libraries. With Gnupylot you can save your plots (even the datasets). It's still in Alpha stage.
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Reliability Oriented Bioinformatic Networks Visualization
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Python software package for 3D tracking of leg joints in walking insects. Published as Bender et al., PLoS ONE, 2010 (http://dx.doi.org/10.1371/journal.pone.0013617)
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An Inkscape extension for editable (digital) timing diagrams in publication quality, based on a very simple state-oriented language for signal description.
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This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
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Metropolis is a visualization tool for TRANSIMS traffic simulation output. It specializes in viewing the dynamic outputs of the micro-simulator, such as vehicle motion and other time-varying data.
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A tool for visualization, classification, and quantification of three-dimensional secondary ion mass spectrometry data.
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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
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Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.
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