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What is WackoWiki?

WackoWiki is a compact, flexible, and multilingual Wiki engine designed for efficiency and adaptability. This open-source platform, licensed under BSD, is completely free to use and boasts a variety of features including a WYTIWYG editor, the ability to edit sections, and automatic thumbnail generation, all with a straightforward installation process. Users can benefit from numerous localizations, and links can be created using either CamelCase or an easy two-character markup system. It supports PHP versions 8.0 to 8.5 as well as MariaDB/MySQL/SQLite, ensuring compatibility with modern web technologies. Additionally, WackoWiki includes functionalities such as correction for minor typos and special characters, access control through per-page access control lists, and automatic generation of tables of contents. Users can also keep track of page changes with monitoring features and receive email notifications regarding updates or comments. Furthermore, WackoWiki provides a robust diff tool that allows for a detailed comparison of different revisions, enhancing collaborative efforts and content management.

What is AutoDiscovery?

AutoDiscovery is a sophisticated software solution crafted for automated exploratory data analysis, enabling biomedical researchers to uncover complex relationships hidden within their experimental and clinical trial data. This innovative tool autonomously identifies the appropriate statistical tests required to assess the connections between different variable combinations in each data subset. AutoDiscovery effectively tackles prevalent challenges in biomedical research, such as discerning cause-effect relationships, managing false discovery rates, addressing small sample sizes, organizing treatment groups, and ensuring result traceability. Specifically designed for Principal Investigators, who often face time constraints and may lack extensive statistical knowledge, it allows them to focus on conducting significant and productive research endeavors. Additionally, this software streamlines research workflows, promoting faster insights and breakthroughs in the biomedical domain while empowering researchers to make data-driven decisions with confidence. By leveraging AutoDiscovery, researchers can enhance the overall quality of their findings and contribute more effectively to advancements in health science.

Media

Media

Integrations Supported

MantisBT
MariaDB
MySQL
SQLite

Integrations Supported

MantisBT
MariaDB
MySQL
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

€1.795 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

WackoWiki

Date Founded

2003

Company Location

Germany

Company Website

wackowiki.org

Company Facts

Organization Name

Butler Scientifics

Date Founded

2014

Company Location

Spain

Company Website

www.butlerscientifics.com

Categories and Features

Knowledge Management

Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal

Software Documentation

Access Roles / User Permissions
Automatic Documentation Generation
Collaboration Tools
Docs Web Hosting
Feedback Capture
Markdown Support
Multiple Formats Support
Multiple Versions Support
Version Control
WYSIWIG Editor
Webhooks
reStructured Text Support

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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