Thingpedia is the open, crowdsourced knowledge base for virtual assistants. Anyone can contribute the interface code to access any device or web service to Thingpedia.

This repository contains the interfaces hosted on Thingpedia that are maintained collaboratively by the Thingpedia authors and various contributors.

These interfaces cannot be used alone: each interface must be packaged and uploaded separately to Thingpedia, to be used by some installation of the Almond virtual assistant. While a package.json is present at the top of this repository, its purpose is only to declare dependencies used to train dialogue models and test the devices. You cannot import this package directly.

Thingpedia is part of Almond, a research project led by prof. Monica Lam, from Stanford University. You can find more information at https://almond.stanford.edu.

The devices in this repository are divided in three release channels, based on their development maturity:

• main: curated, high-quality, officially supported Thingpedia devices that are are continuously tested and and reasonably expected to work on all supported Almond platforms.
• universe: community-supported Thingpedia devices that at some point passed our standard of quality but might be out of date with upstream API changes or lack newer functionality; universe devices are also automatically tested and have their dependencies updated automatically.
• staging: incubator for newly developed Thingpedia devices, not yet ready for wide use; staging devices are not regularly tested and might have out-of-date dependencies or security vulnerabilities; use staging devices at your own risk.

See doc/index.md for all the documentation associated with this repository, including the layout of each device, and the developer workflow.

The scripts in this repository are generally under 3-Clause BSD license, with a few exceptions in Apache 2.0, indicated at the top of each file.

Each Thingpedia device is copyright of the respective author, and has a copyright notice at the top of the file, as well as a #[license] annotation in SPDX format in the manifest.tt file.

Datasets that are not in the public domain or covered by the repository license have their license indicated in the same folder.