Search Results for "source code viewer" - Page 2
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Showing 35 open source projects for "source code viewer"
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Global Consciousness Project uses hardware "random" number generators and finds patterns between that and major world events. This Java applet will run on their webpage and translate that data to music-like audio. Or for general audio synthesizing.
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HTML- and javascript-based program to browse the persons of a gedcom-file, the common export-format of genealogy-programs. No installation needed. So you can just send the HTML-file with the data to browse to your relatives by email (gedcom viewer).
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With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -
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hr2ged is a python program that will transcribe Heredis file in Gedcom. It is available both with a GUI and on command-line. It is code in Python.
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Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
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siggen is a cool email signature generator for encrypted ansi c (confused), brainf*ck, ... signatures. Use it in combination with vi(m), emacs, mutt, pine, or what ever. (tested on Solaris, Linux and Windoze). Optimized only for geeks :-)
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View and edit genealogy dynamically on a web site with PHP/MySql. Loads standard GEDCOM files. Includes both standard and tree views, comprehensive searches, themes, privacy module, guest book, GEDCOM download, GENDEX output, photo module, multi-lingual.
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Web Gedcom Viewer is a full Web-based Gedcom viewer that uses MySQL or SQLite on the backend and Perl as the frontend with templates for easy HTML manipulation. Gedcom files are in the standard format exported by family tree/genealogy applications.
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Civic Tech Field Guide
The directory web application for the Civic Tech Field Guide
...This belief drives our core values of: A global perspective, as we can all learn from others’ work. Making our resources as available as possible through open source code, open data licensing, and strong accessibility. Inclusively pointing to helpful resources others have created, even and especially if they could be seen as competitors. Providing an often missing archival memory of the field, so we can learn from our past mistakes and get better at what we do, rather than brush failures under the carpet.
