EmmanuelOga / wed

Wed is a web-based editor that assists users in editing XML documents according to a schema.

Home Page:http://mangalam-research.github.io/wed/

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Introduction

Wed is a schema-aware editor for XML documents. It runs in a web browser. The software is at the beta stage. It is being used in a project for editing scholarly articles. We aim to make it extensible by means of a stable API, but the API is likely to change quickly for now.

Wed is tested on Chrome, Firefox and Internet Explorer.

Our extensive documentation can be read here.

License

Wed is released under the Mozilla Public License version 2.0. Copyright Mangalam Research Center for Buddhist Languages, Berkeley, CA.

Acknowledgments

https://www.browserstack.com/images/mail/browserstack-logo-footer.png

Wed is tested using BrowserStack. BrowserStack provides this service for free under their program for supporting open-source software.

Wed is also tested using Sauce Labs. Sauce Labs provides this service for free under their Open Sauce program.

Credits

Wed is designed and developed by Louis-Dominique Dubeau, Director of Software Development for the Buddhist Translators Workbench project, Mangalam Research Center for Buddhist Languages.

Jesse Bethel has worked on wed's documentation, and on the github.io site for wed.

https://secure.gravatar.com/avatar/7fc4e7a64d9f789a90057e7737e39b2a

This software has been made possible in part by a Level I Digital Humanities Start-up Grant and a Level II Digital Humanities Start-up Grant from the National Endowment for the Humanities (grant numbers HD-51383-11 and HD-51772-13). Any views, findings, conclusions, or recommendations expressed in this software do not necessarily represent those of the National Endowment for the Humanities.

http://www.neh.gov/files/neh_logo_horizontal_rgb.jpg

About

Wed is a web-based editor that assists users in editing XML documents according to a schema.

http://mangalam-research.github.io/wed/

License:Mozilla Public License 2.0


Languages

Language:TypeScript 80.7%Language:Python 8.5%Language:JavaScript 6.1%Language:Gherkin 2.8%Language:HTML 1.2%Language:CSS 0.7%Language:XSLT 0.0%Language:Makefile 0.0%