The Apache 2.0 open source xAPI Learning Record Store

SQL LRS

Experience xAPI.

Learning Engineering | xAPI and the Total Learning Architecture | xAPI Profile Design

Open Source

Find peace-of-mind in the fact that all of our core xAPI capabilities are distributed under an Apache 2.0 license and are freely available for commercial use.

Trusted

Use the same xAPI resources as some of the most demanding orgs on the planet. Our core xAPI products are built for stringent DevSecOps environments.

Research-based

Everything in our product portfolio has been vetted through R&D and peer review. Ask us about our most recent work in synthetic xAPI for pilot training.

Winner of the Nielsen Data Visionary Award at TechCrunch Disrupt

“We’re thrilled to select Yet Analytics… in recognition of their unique platform that allows users to leverage large quantities of data from multiple sources to measure and improve performance,” said Nielsen CTO James Powell.

Best Paper Nominee in Policy, Standards, Management, and Acquisition at I/ITSEC 2022

for “Enhancing the Total Learning Architecture for Experiential Learning”

YET LE Software Portfolio

The complete xAPI toolset for Learning Engineering

SQL LRS

Apache 2.0 xAPI LRS

Github | Docker | Iron Bank

Unity xAPI Publisher

Emit xAPI from Unity

Github

LRSPipe

Filter via xAPI Profiles

Github | Docker | Iron Bank

DATASIM

Synthetic xAPI Data

Github

Pan

Validate xAPI Profiles

Github

Persephone

Validate Profile Templates

Github

Our suite of open source for xAPI is constantly growing and evolving. We encourage you to contribute to the projects and to use the source code in your own projects. For assistance in implementation, we provide a range of services. Please reach out for information. Be sure to follow us on Github for the latest open source software development from the Yet engineering team.

Product Focus

The Data Analytics and Simulated Input Modeler (DATASIM)

DATASIM is an Apache 2.0 open source capability that was developed by Yet Analytics under an R&D contract sponsored by the Advanced Distributed Learning Initiative (ADL). The software enables the ability to model and generate synthetic xAPI data at any scale. The project leverages xAPI Profiles to enable a variety of use cases ranging from synthetic data mining to infrastructure cost estimation.

The project is accessible on Github. The documentation and repo for DATASIM’s simulation engine — which runs as a standalone CLI, and which may also be deployed as a REST API — is located here.

We’d love to hear about how you are using DATASIM. Feel free to reach out as we’re looking to highlight some of the best use cases to the broader xAPI open source community.

DATASIM was used in the STEEL-R project to generate synthetic xAPI data that was then mined to test competency assertion capabilities.

Check out the paper published in the Proceedings of the 15th International Conference on Educational Data Mining.

In testing the TRL5 prototype of DATASIM, we generated over one billion profile-modeled xAPI statements in 3.5 hours.

ADL published an article regarding the work and discussed how DATASIM was going to be used to help the Army.

We provide xAPI products

Our product portfolio includes the Apache 2.0 SQL LRS as well as LRSPipe, DATASIM, and the new Centriph platform for xAPI Profiles.

We provide xAPI services

Our services include xAPI data design as well as data architecture and data standards consulting and US-based software engineering for xAPI.

We provide xAPI advisory

In addition to technical consulting, we provide strategic advisory services focused on enhancing business models through the adoption of xAPI.

FAQs

The things we get asked about

Q. What is xAPI?

xAPI is an open source specification for how to describe learning activity as machine-readable data. It was designed by the Advanced Distributed Learning Initiative and standardized by IEEE. It has become the standard way of managing learning and training data, whether from an LMS or via non-traditional means like AR/VR and next-gen simulations.

Q. Do you offer an LRS product?

Yes. In fact, SQL LRS is the world’s most respected Apache 2.0 open source Learning Record Store. It’s available for free for any commercial purpose. You can also contract us to provide world-class support led directly by the engineers responsible for the development of the software.

Q. Why does xAPI matter?

xAPI provides interoperability between tech that drives learning experiences and tech that consumes and makes sense of learning data. This cuts cost, limits vendor lock-in, and decreases technical debt while ensuring that data used to power competency engines, dashboard reporting, and next-gen AI-enabled capabilities is clean, efficient, and accurate.

Q. What are xAPI Profiles?

Think about xAPI as micro-statements that describe unique activities. Now think of xAPI Profiles as a collection of those statements bundled into a single model for the purpose of describing the whole of an experience. If you are interested in getting started with xAPI Profiles, you can try out Centriph, the profile authoring platform. If you need help, let us know. We provide a full range of xAPI Profile design services.

Q. And the Yet team works with xAPI?

Yes. We’ve developed an open source portfolio that includes all of the key software components within an xAPI implementation. It includes an open source Learning Record Store as well as filtering and validation capabilities designed to support the Total Learning Architecture — a standards-based enterprise infrastructure for learning technologies.

Q. Do you have resources for US Fed Gov customers?

Yes. Both SQL LRS and LRSPipe are available through Platform One’s IronBank. They are containerized, ready for deployment on any Cloud or on-prem environment, and are compatible with IL 2 and IL4 security environments.


Meet Centriph

The authoring platform for xAPI Profiles

Centriph is a very special platform — the first data authoring platform ever purpose-built for xAPI Profiles.

We wanted Centriph to be a platform for the data design and instrumentation needs of Learning Engineering teams. And we thought that a great place to start would be by building an authoring tool for xAPI Profiles.

It would need to provide live data validation. And visual error handling. It would need to have interfaces both for business users and for programmers. And it would need to include powerful query and data simulation capabilities so that teams could test and evaluate their data design.

Because xAPI Profiles are the standardized models of controlled vocabulary, patterns, sequences, and concepts that support syntactic integration and semantic interoperability between software components that produce and consume xAPI data, we thought that Centriph could provide value to every implementation of xAPI.

So, say hello to Centriph — a place to author, discover, share, and remix xAPI Profiles. Find it in Beta at beta.centriph.com.

Subscriptions to private repos on the Cloud service start in 2024. We also have a deployable version of Centriph available for enterprise customers who want to host their own xAPI Profiles. Get in touch to learn more.

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