Projects Currently in Incubation

The following projects are currently incubating in the Apereo Incubation Process. Please visit the Projects and Communities page for more information as it becomes availible. 

EDexchange, a project of the Postsecondary Electronic Standards Council (PESC) Common Data Services (CDS) Task Force of over 30 institutions and vendors, aims to create a secure network for the exchange of transcripts between US educational institutions. The the open source, web service based software EDexchange creates has the potential to be utilized to setup secure networks to exchange education data regionally and locally in many countries.

ELMS Learning Network
ELMS Learning Network (ELMSLN) is an open source educational technology platform for building and sustaining innovation in course technologies. It is a Next Generation Digital Learning Environment (NGDLE) that utilizes a Suite of Tools approach to system design and deployment. We believe it takes an ecosystem to effectively meet the needs of educators and believe in empowering faculty by treating courses as small networked ecosystems that encourage experimentation, fragmentation, growth, and then ultimately stabilization of new ideas.

Image Quiz
The goal of the Image Quiz Project is to increase comprehension of complex subjects through visual learning. This goal is accomplished through the development of a series of computer-based visual training programs under the working title Image Quiz. Programs in the Image Quiz family are designed to rapidly help users become visual experts. Unlike novices, visual experts are able to quickly recognize patterns. This allows chess masters to recognize meaningful chess configurations, and field biologists to identify organism from a mere glance.

Learning Analytics Processor
The Learning Analytics Processor project is aimed at accelerating the future of predictive learning analytics through the development of a flexible and highly scalable tool that will facilitate everything from academic early alert systems to data visualizations. Along with this powerful“big data” tool will come a library of open predictive models which can be shared across higher education free of licensing costs and, most importantly,allow institutions to collaborate on enhancing and improving these models over time. The project entered incubation in June 2015. More information will follow shortly.

OpenDashboard is a web application that provides a framework for displaying visualizations and data views called "cards". Cards represent a single discrete visualization or data view but share an API and data model. OpenDashboard is a Java application built with Spring Boot. The project entered incubation in June 2015. More information will follow shortly.

OpenLRW is the next evolution of the open learning record store. OpenLRW is a standards-focused learning records warehouse with support for event capture with xAPI and IMS Caliper as well as supporting data with IMS OneRoster.

POET is a group of people and organizations that believe in the power of open source to innovate and advance their learning and educational solutions. By working together under a single organization, POET’s members can provide additional resources to help advance the open source projects that matter to them.

The goal of Tsugi is to build a scalable multi-tenant "tool" hosting environment based on the emerging IMS standards to help move the industry toward a Next Generation Digital Learning Environment(NGDLE) . The use of this framework does not automatically imply any type of IMS certification. Tools and products that use this framework must still go through the formal certification process through IMS (

This project is an alternative user interface for use with uPortal, leveraging APIs, content, and functionality in uPortal and adding experiences. The uPortal-home project includes an alternative-to-Portlets framework for developing applications for delivery through the portal. It also continues to support uPortal rendering of JSR-286 Portlets (so long as they are rendered in maximized or exclusive window states), in a snappy client-side way when it can, and via the traditional uPortal rendering pipeline when it cannot.