Search Results for "google-visualization-python"
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Showing 6 open source projects for "google-visualization-python"
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J2ObjC
A Java to iOS Objective-C translation tool and runtime
J2ObjC is an open-source command-line tool from Google that translates Java source code to Objective-C for the iOS (iPhone/iPad) platform. This tool enables Java source to be part of an iOS application's build, as no editing of the generated files is necessary. The goal is to write an app's non-UI code (such as application logic and data models) in Java, which is then shared by web apps (using GWT), Android apps, and iOS apps. -
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SIGAR (System Information Gatherer and Reporter) is a cross-platform, cross-language library and command-line tool for accessing operating system and hardware level information in Java, Perl and .NET.
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Protein Contact Matrix Generator
Command line application to generate contact matrix from proteins (3D)
...Protein Contact Map Generator (PCMGen) is a command line tool which takes protein 3D structures (PDB format files) as input and computes contact distances between two chains (from single or two different proteins). These matrix files can be further visualised as Contact Maps using other visualization tools/ programs (like R-heatmaps). Contact Maps can be used to understand proteins' : 1. Secondary structures 2. Conformational arrangements 3. Surface interactions -
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KMLTool (better name wanted) is a command line tool written in java, mainly designed to automate the process of converting kismets .gpsxml/.netxml files into google earth's KML files, with some features i used to miss in other programs for this job.
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JAlbum 2 Picasa
Convert JAlbum galleries for upload to Google Picasa Web Albums
A command line tool for uploading JAlbum galleries from the filesystem to Google Picasa Web Albums. JAlbum's metadata (gallery name, description, photos ordering, comments, ...) are processed and used for uploading of photos to Picasa Web Albums. -
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IntiMap is a convenience tool to run the MS-DOS command-line tool MapPop for selective genotyping. It adds facilities to prepare genotyping data files, manage genotype sets and visualize mapping results (genetic marker maps).
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