Gadget, a part of the SIMILE Widgets family of tools, is an open source command line XML inspector for generating useful summaries from large amounts of well-formed XML data. It is particularly valuable when exploring, migrating or cleaning XML, in addition to evaluating schema emergence. This tool require a Java 1.4 or later compatible virtual machine and Maven 2.0 or above to run. Gadget is no longer maintained, but information about it is still available via the Internet Archive.
Exhibit 3.0, a part of the SIMILE Widgets family of tools, is an open source software tool for web-based data publishing. This JavaScript-based browser widget facilitates searching, browsing, navigating and visualization data, and enables users to publish their data collections as websites without requiring programming, a database or access to a server.
Silk is a platform for sites that contain collections of information. It's like the Tumblr for websites that have structured content–like software reviews, information about designers, a site with UN datasets, and more. When you have created your site (manually or by uploading one or more datasets), you can visualize and filter your data in a few ways. You can create graphs if your pages contain numbers, maps if you have locations, and filtered tables for just about anything. These visualizations and tables are interactive: anyone can play around with the variables to get the answer they need from the data.
Sigma is a JavaScript library dedicated to graph drawing. It makes it easy to publish networks on Web pages, and allows developers to integrate network exploration in rich Web applications. It is highly interactive and allows a researcher to extend their work from a dedicated graph analysis package such as Gephi and share it via the web to allow for communication of research outputs, while permitting viewers to explore and discover their own findings from the raw graph network.
Sigil is a free, open source, multi-platform e-book editor, designed for editing books in EPUB format. Full UTF-16 support and full EPUB 2 spec support Multiple views: code view (complete control over directly editing EPUB syntax), book view (WYSIWYG), and preview view Table of contents generator, metadata editor, multi-language user interface, spell checking tool, EPUB compliance validator, support for find and replace Import, organize, and manage EPUB and HTML files, images, style sheets, audio, video, and fonts Resources Source code repository Current packages Wiki documentation Online user guide Sigil's development blog Help forum at MobileRead Translations
Sifter provides search and retrieve access to every undeleted Tweet in the history of Twitter. Users can submit three historical Twitter estimate requests per day using a variety of Gnip PowerTrack rules. When the query is done, Sifter generates an email estimating the approximate number of tweets responsive to the query and the cost to get access to the data via DiscoverText. Once the data is licensed by Texifter, we store the Tweets in a free trial Enterprise DiscoverText account where you can perform advanced text analytics to search, filter, cluster, code, and machine classify the data.
Rated 0.0 out of 5.★★★★★0.0
Siena (Simulation Investigation for Empirical Network Analysis)
Siena (Simulation Investigation for Empirical Network Analysis) is a free program for statistical analysis developed particularly to work with social network data, but also applicable to other forms of network data. It models network dynamics via Markov chain models; this approach is best applied to data where relations between actors and their behaviour can be treated as a state rather than as an event. Siena's statistical analysis processes can be time-consuming, as the system works via computer simulation of the network. It was in continuous development from 2001 through 2010, releasing versions up to 3.2. Development on Siena as a stand-alone program has concuded, and the project has shifted focus to RSiena, a version of Siena deployed in R.
(From author Andrew Hankinson): I´m pleased to announce the release of SibMEI 1.0, a Sibelius to MEI plugin. Currently it only exports to MEI from Sibelius (no import). Special thanks to Micah Walter for his work on it this summer. You can download it from the GitHub "Releases" page: https://github.com/DuChemin/sibmei/releases To install: - Download the plugin (either .zip or .tar.gz) - Quit Sibelius if you have it open - Place the "sibmei" folder in your Sibelius plugins folder. See this page for help on how to find this folder on your system: http://www.sibelius.com/download/plugins/index.html?help=install - Restart Sibelius. The plugin should be available in your Plugins drop down bar. To use, simply choose "Export to MEI" from your plugins list. If you find any bugs, please help out by filing an issue on the GitHub Bug Tracker: https://github.com/DuChemin/sibmei/issues. The development of this plugin was supported by two organizations: - The Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT) sponsored the initial development through a visiting research position at the University of Virginia; - The DuChemin Project, led by Richard Freedman at Haverford College and funded by grants from the NEH and Haverford College, sponsored further development in the summer of 2013. Please let me know if you have any questions or comments.
