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ADL Open Source LRS
What it is
ADL Open Source LRS stores learning data collected with the Experience API (xAPI). The project says this version was updated to match IEEE 9274.1.1, also known as xAPI 2.0, and is stable for proof-of-concept use with a small number of users. It is free, open source, and distributed under the Apache License, Version 2.0. Docker and Docker Compose are the recommended installation method; that deployment includes a Django web service with uWSGI, an nginx proxy, PostgreSQL, RabbitMQ and Redis. OAuth and statement webhooks are optional and disabled by default. Webhooks can filter incoming statements and send matches to a client endpoint, optionally including an HMAC signature. Celery handles activity metadata retrieval, statement voiding and LRS hooks asynchronously. Administrators can change the database through settings.ini. The Docker guide describes an included Certbot container for obtaining a certificate for a public domain. The repository accepts pull requests and issues. The plan is free, intended to support a small amount of users.
For and against
For
- Free and distributed under Apache License 2.0
- Supports xAPI 2.0 alignment
- Includes optional statement filtering webhooks
- Database settings can be changed
- Docker deployment includes multiple services
Against
- Intended for only a small number of users
- OAuth is disabled by default
- Statement webhooks are disabled by default
The verdict
ADL Open Source LRS is aimed at small proof-of-concept deployments that need to store xAPI learning data. Its Docker deployment includes a broad set of services, while OAuth and webhooks require deliberate setup.
Who it suits
It suits teams seeking a self-hosted xAPI learning data store for a small proof-of-concept deployment. Docker and Docker Compose are the recommended installation route.
Plans and prices
ADL Open Source LRS
proof of concept · intended to support a small amount of users
Read 4 Oct 2026 · github.com
On the record
- Asynchronous processing
- The project uses Celery to retrieve activity metadata, process statement voiding and check LRS hooks asynchronously.github.com · read 4 Oct 2026
- Database configuration
- The installation guide says the database can be changed through the database settings in settings.ini.github.com · read 4 Oct 2026
- Deployment
- The project recommends Docker and Docker Compose as the simplest installation method.github.com · read 4 Oct 2026
- Included services
- The Docker deployment includes a Django web service with uWSGI, an nginx HTTP/HTTPS proxy, PostgreSQL, RabbitMQ and Redis.github.com · read 4 Oct 2026
- License
- The repository distributes the software under the Apache License, Version 2.0.github.com · read 4 Oct 2026
- OAuth
- OAuth is not enabled by default; the wiki describes enabling it through the OAUTH_ENABLED setting and registering clients with the LRS.github.com · read 4 Oct 2026
- Purpose
- The LRS stores learning data collected with the Experience API (xAPI).github.com · read 4 Oct 2026
- Scale
- The project describes this version as stable but intended to support only a small number of users as a proof of concept.github.com · read 4 Oct 2026
- SSL
- The Docker installation guide describes an included Certbot container for obtaining a certificate for a publicly available domain and restarting nginx to use it.github.com · read 4 Oct 2026
- Standard
- The repository says the LRS was updated to match IEEE 9274.1.1, also known as xAPI 2.0.github.com · read 4 Oct 2026
- Statement webhooks
- Optional webhooks can filter incoming xAPI statements and send matching statements to a client endpoint; they are disabled by default.github.com · read 4 Oct 2026
- Support and contributions
- The repository invites contributions through pull requests and directs users who do not want to edit code to submit an issue.github.com · read 4 Oct 2026
- Webhook signing
- A webhook can optionally include a secret that the LRS uses to send an HMAC hex digest in the X-LRS-Signature header.github.com · read 4 Oct 2026