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LampCMS - Q&A program in PHP
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Lampcms is an full-featured Open Source Question and Answers web program with support for social web with the integration with Facebook and Twitter. Lampcms is tag-based, all questions are tagged by the author and can then be grouped by tag.
It has all functionalites related to Q&A website. Post new question, Edit, Delete and Close existing questions. Question author has full control on the questions posted by them. Moderator will have full admin rights. User can vote questions up/down and also could select best answer.
Ip-Based Geo Location stored with posts, can use to plot items on Google Map. It is capable of handling very high-load websites, easily serving thousands of simultaneous requests. It counts one view per Question per User or per IP if user not logged in.
| Tags | faq faq-system question answer stackoverflow-like |
| Implementation | PHP |
| License | LGPL |
| Platform | Windows Linux |
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OSQA is the open source Q&A system. It is more than just an FAQ page, it is a full-featured Q&A community. Users earn points and badges for useful participation, and everyone in the community wins. OSQA is built and maintained by a team of developers who share an interest in making a great, free, open source Q&A system available to everyone. The OSQA project is hosted and financially supported by DZone, Inc.
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faq faq-system question answer stackoverflow-likeAnyQ - FAQ-based Question Answering System
FAQ-based Question Answering System
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Talkyard is a Forum software, brings together the best from StackOverflow, Discourse, Slack etc. It helps people find help "instantly", in Question & Answers topics, Discuss, upvote and choose the right things to do. It also provides support to do team chat, Add embedded comments to the blog.
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Open source Question and Answer program similar to StackOverflow and Quora in PHP + MongoDB. Follow @snytkine on Twitter
phpMyFAQ - phpMyFAQ - Open Source FAQ system for PHP and MySQL, PostgreSQL and other databases
phpMyFAQ is a multilingual, completely database-driven FAQ-system. It supports various databases to store all data, PHP 5.6+ is needed in order to access this data. phpMyFAQ also offers a multi-language Content Management System with a WYSIWYG editor and an Image Manager, real time search support with Elasticsearch, flexible multi-user support with user and group based permissions on categories and records, a wiki-like revision feature, a news system, user-tracking, 40+ supported languages, enhanced automatic content negotiation, HTML5/CSS3 based responsive templates, PDF-support, a backup-system, a dynamic sitemap, related FAQs, tagging, RSS feeds, built-in spam protection systems, OpenLDAP and Microsoft Active Directory support, and an easy to use installation script. phpMyFAQ is only supported on PHP 5.6.0 and up, you need a database as well. Supported databases are MySQL, Percona Server, PostgreSQL, Microsoft SQL Server, SQLite3 and MariaDB. If you want to use Elasticsearch as main search engine, you need Elasticsearch 2.x as well. Check our detailed requirements on phpmyfaq.de for more information.
faq phpmyfaq mysql database postgresql sqlite mssql elasticsearch docker docker-composephpMyFAQ
phpMyFAQ is a multilingual, completely database-driven FAQ-system. It supports various databases to store all data, PHP 5.2 (or higher) is needed in order to access this data. phpMyFAQ also offers a multi-language Content Management-System with a WYSIWYG editor and an Image Manager.
faq cms faq-systemDiscourse - Discussion Platform like Stackoverflow
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forum-software question answer stackoverflow-like discussion-board forumScoold - Stack Overflow clone in Java
Scoold is a Q&A platform. The primary goal of this project is educational but it can also work great as a Q&A/support section for your website. Its feature include Full text search, Database-agnostic, optimized for cloud deployment, Distributed object cache, Reputation and voting system with badges, Email notifications for post replies and comments, Social login (Facebook, Google, GitHub, LinkedIn, Microsoft, Twitter) with Gravatar support.
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Vanilla forums - customizable discussion forum with mobile support
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forum forum-software discussion question answer faqmagit - It's Magit! A Git porcelain inside Emacs.
When something doesn't work as expected then please first see the FAQ. Then also try the list of open issues and use the search box at the top of that page to find older related issues. You should also consult the manual and ask a general-purpose search engine. If that doesn't answer your question, then ask for help on the Emacs Stackexchange site or the mailing list. We only use the GitHub issue tracker for feature requests and bug reports, so please don't ask for help there.
emacs git magitopengapps - The main repository of the Open GApps Project
If you have any questions check out the Open GApps Wiki especially the FAQ answers most questions. If you can't find the answer to your question use the XDA Q&A Thread or join us on Gitter to receive support. Don't forget to add at least the Open GApps installer debug log and if experiencing Force Closures also include a logcat. If you did find a bug in the Pre-built OpenGApps.org packages you can report it at the XDA Open GApps Development Thread. Remember to include at minimum the Open GApps installer debug log and if applicable a logcat.
open gapps opengapps xda apk opensource androidhow2 - stackoverflow from the terminal
if it gives you EACCES errors, you need to fix npm permissions. Or you can just use sudo npm install -g how2 if you don't care. After that you can press SPACE to go to the interactive mode, where you can choose a different stackoverflow question/answer.
how2 howto man google stackoverflow stack-overflow stackexchange stack-exchangeDrQA - Reading Wikipedia to Answer Open-Domain Questions
This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions. DrQA is a system for reading comprehension applied to open-domain question answering. In particular, DrQA is targeted at the task of "machine reading at scale" (MRS). In this setting, we are searching for an answer to a question in a potentially very large corpus of unstructured documents (that may not be redundant). Thus the system has to combine the challenges of document retrieval (finding the relevant documents) with that of machine comprehension of text (identifying the answers from those documents).
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